تكلم مع الذكاء الاصطناعي
Deck 13: Multiple Regression Analysis
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A multiple regression analysis produced the following tables: 
The sample size for this analysis is ___.
A)19
B)17
C)34
D)15
E)18
The sample size for this analysis is ___.A)19
B)17
C)34
D)15
E)18
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A multiple regression analysis produced the following tables: 
The regression equation for this analysis is ___.
A)y = 616.6849 + 3.33833 x1 + 1.780075 x2
B)y = 154.5535 - 1.43058 x1 + 5.30407 x2
C)y = 616.6849 - 3.33833 x1 - 1.780075 x2
D)y = 154.5535 + 2.333548 x1 + 0.335605 x2
E)y = 616.6849 - 3.33833 x1 + 1.780075 x2
The regression equation for this analysis is ___.A)y = 616.6849 + 3.33833 x1 + 1.780075 x2
B)y = 154.5535 - 1.43058 x1 + 5.30407 x2
C)y = 616.6849 - 3.33833 x1 - 1.780075 x2
D)y = 154.5535 + 2.333548 x1 + 0.335605 x2
E)y = 616.6849 - 3.33833 x1 + 1.780075 x2
سؤال
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A multiple regression analysis produced the following tables: 
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)8.68
B)6.36
C)8.40
D)6.11
E)3.36
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.A)8.68
B)6.36
C)8.40
D)6.11
E)3.36
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
The R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
سؤال
A multiple regression analysis produced the following tables: 
Using = 0.05 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)3.74
B)3.89
C)4.75
D)4.60
E)2.74
Using = 0.05 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)3.74
B)3.89
C)4.75
D)4.60
E)2.74
سؤال
A multiple regression analysis produced the following tables: 
These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is significant at the 5% level
D)x2 is significant at the 5% level
E)the intercept is not significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is significant at the 5% level
D)x2 is significant at the 5% level
E)the intercept is not significant at 5% level
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The number of degrees of freedom for regression is ___.
A)1
B)4
C)34
D)30
E)35
The number of degrees of freedom for regression is ___.A)1
B)4
C)34
D)30
E)35
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The MSR value is ___.
A)700.00
B)350.00
C)233.33
D)175.00
E)275.00
The MSR value is ___.A)700.00
B)350.00
C)233.33
D)175.00
E)275.00
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The adjusted R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
The adjusted R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The value of the standard error of the estimate se is ___.
A)13.23
B)3.16
C)17.32
D)26.46
E)10.00
The value of the standard error of the estimate se is ___.A)13.23
B)3.16
C)17.32
D)26.46
E)10.00
سؤال
A multiple regression analysis produced the following tables: 
For x1= 60 and x2 = 200,the predicted value of y is ___.
A)1,173.00
B)772.40
C)460.97
D)615.13
E)987.78
For x1= 60 and x2 = 200,the predicted value of y is ___.A)1,173.00
B)772.40
C)460.97
D)615.13
E)987.78
سؤال
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A multiple regression analysis produced the following tables: 
Using = 0.05 to test the null hypothesis H0: 1 = 0,the critical t value is ___.
A)± 1.753
B)± 2.110
C)± 2.131
D)± 1.740
E)± 2.500
Using = 0.05 to test the null hypothesis H0: 1 = 0,the critical t value is ___.
A)± 1.753
B)± 2.110
C)± 2.131
D)± 1.740
E)± 2.500
سؤال
The following ANOVA table is from a multiple regression analysis: 
The sample size for the analysis is ___.
A)30
B)25
C)10
D)5
E)31
The sample size for the analysis is ___.A)30
B)25
C)10
D)5
E)31
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The number of degrees of freedom for error is ___.
A)1
B)4
C)34
D)30
E)35
The number of degrees of freedom for error is ___.A)1
B)4
C)34
D)30
E)35
سؤال
A multiple regression analysis produced the following tables: 
These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at the 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at the 5% level
سؤال
A multiple regression analysis produced the following tables: 
Using = 0.10 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)±1.345
B)±1.356
C)±1.761
D)±2.782
E)±1.782
Using = 0.10 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)±1.345
B)±1.356
C)±1.761
D)±2.782
E)±1.782
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The observed F value is ___.
A)17.50
B)2.33
C)0.70
D)0.43
E)0.50
The observed F value is ___.A)17.50
B)2.33
C)0.70
D)0.43
E)0.50
سؤال
A multiple regression analysis produced the following tables: 
The sample size for this analysis is ___.
A)12
B)15
C)14
D)28
E)24
The sample size for this analysis is ___.A)12
B)15
C)14
D)28
E)24
سؤال
A multiple regression analysis produced the following tables: 
The regression equation for this analysis is ___.
A)y = 752.0833 + 11.87375 x1 + 1.908183 x2
B)y = 752.0833 + 336.3158 x1 + 2.236241 x2
C)y = 336.3158 + 5.32047 x1+ 0.662742 x22
D)y = 2.236241 + 2.231711 x1 + 2.879226 x2
E)y = 2.236241 + 2.231711 x1 - 2.879226 x2
The regression equation for this analysis is ___.A)y = 752.0833 + 11.87375 x1 + 1.908183 x2
B)y = 752.0833 + 336.3158 x1 + 2.236241 x2
C)y = 336.3158 + 5.32047 x1+ 0.662742 x22
D)y = 2.236241 + 2.231711 x1 + 2.879226 x2
E)y = 2.236241 + 2.231711 x1 - 2.879226 x2
سؤال
A multiple regression analysis produced the following tables: 
For x1= 60 and x2 = 200,the predicted value of y is ___.
A)658.24
B)711.98
C)788.09
D)1,846.14
E)2,546.98
For x1= 60 and x2 = 200,the predicted value of y is ___.A)658.24
B)711.98
C)788.09
D)1,846.14
E)2,546.98
سؤال
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: 
The MSE value is ___.
A)8.57
B)8.82
C)10.00
D)75.00
E)20.00
The MSE value is ___.A)8.57
B)8.82
C)10.00
D)75.00
E)20.00
سؤال
The following ANOVA table is from a multiple regression analysis: 
The value of the standard error of the estimate se is ___.
A)20.00
B)44.72
C)4.47
D)22.36
E)12.47
The value of the standard error of the estimate se is ___.A)20.00
B)44.72
C)4.47
D)22.36
E)12.47
سؤال
A multiple regression analysis produced the following tables: 
The coefficient of multiple determination is ___.
A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)0.5000
The coefficient of multiple determination is ___.A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)0.5000
سؤال
A multiple regression analysis produced the following tables: 
The coefficient of multiple determination is ___.
A)0.0592
B)0.9138
C)0.1149
D)0.9559
E)1.0000
The coefficient of multiple determination is ___.A)0.0592
B)0.9138
C)0.1149
D)0.9559
E)1.0000
سؤال
A multiple regression analysis produced the following tables: 
The adjusted R2 is ___.
A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)1.0000
The adjusted R2 is ___.A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)1.0000
سؤال
A multiple regression analysis produced the following tables: 
These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)all variables are significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)all variables are significant at 5% level
سؤال
The following ANOVA table is from a multiple regression analysis: 
The number of independent variables in the analysis is ___.
A)30
B)25
C)1
D)5
E)2
The number of independent variables in the analysis is ___.A)30
B)25
C)1
D)5
E)2
سؤال
A multiple regression analysis produced the following tables: 
The sample size for this analysis is ___.
A)17
B)13
C)16
D)11
E)15
The sample size for this analysis is ___.A)17
B)13
C)16
D)11
E)15
سؤال
The following ANOVA table is from a multiple regression analysis: 
The SSE value is ___.
A)20
B)400
C)2000
D)500
E)2500
The SSE value is ___.A)20
B)400
C)2000
D)500
E)2500
سؤال
A multiple regression analysis produced the following tables: 
Using = 0.01 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)± 1.174
B)± 2.093
C)± 2.131
D)± 4.012
E)± 3.012
Using = 0.01 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)± 1.174
B)± 2.093
C)± 2.131
D)± 4.012
E)± 3.012
سؤال
A multiple regression analysis produced the following tables: 
For x1= 40 and x2 = 90,the predicted value of y is ___.
A)753.77
B)1,173.00
C)1,355.26
D)3,719.39
E)1,565.75
For x1= 40 and x2 = 90,the predicted value of y is ___.A)753.77
B)1,173.00
C)1,355.26
D)3,719.39
E)1,565.75
سؤال
A multiple regression analysis produced the following tables: 
The regression equation for this analysis is ___.
A)y = 302689 + 1153309 x1 + 1455998 x2
B)y = -139.609 + 24.24619 x1 + 32.10171 x2
C)y = 2548.989 + 22.25267 x1 + 17.44559 x2
D)y = -0.05477 + 1.089586 x1 + 1.840105 x2
E)y = 0.05477 + 1.089586 x1 + 1.840105 x2
The regression equation for this analysis is ___.A)y = 302689 + 1153309 x1 + 1455998 x2
B)y = -139.609 + 24.24619 x1 + 32.10171 x2
C)y = 2548.989 + 22.25267 x1 + 17.44559 x2
D)y = -0.05477 + 1.089586 x1 + 1.840105 x2
E)y = 0.05477 + 1.089586 x1 + 1.840105 x2
سؤال
A multiple regression analysis produced the following tables: 
These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at 5% level
سؤال
The following ANOVA table is from a multiple regression analysis: 
The MSR value is ___.
A)20
B)400
C)2000
D)500
E)30
The MSR value is ___.A)20
B)400
C)2000
D)500
E)30
سؤال
A multiple regression analysis produced the following tables: 
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)5.99
B)5.70
C)1.96
D)4.84
E)6.70
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)5.99
B)5.70
C)1.96
D)4.84
E)6.70
سؤال
The following ANOVA table is from a multiple regression analysis: 
The R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)1.00
The R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)1.00
سؤال
A multiple regression analysis produced the following tables: 
For x1= 30 and x2 = 100,the predicted value of y is ___.
A)753.77
B)1,173.00
C)1,355.26
D)615.13
E)6153.13
For x1= 30 and x2 = 100,the predicted value of y is ___.A)753.77
B)1,173.00
C)1,355.26
D)615.13
E)6153.13
سؤال
A multiple regression analysis produced the following tables: 
The adjusted R2 is ___.
A)0.9138
B)0.9408
C)0.8982
D)0.8851
E)0.8891
The adjusted R2 is ___.A)0.9138
B)0.9408
C)0.8982
D)0.8851
E)0.8891
سؤال
The following ANOVA table is from a multiple regression analysis: 
The observed F value is ___.
A)20
B)400
C)2000
D)500
E)10
The observed F value is ___.A)20
B)400
C)2000
D)500
E)10
سؤال
The following ANOVA table is from a multiple regression analysis: 
The adjusted R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.86
E)0.76
The adjusted R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.86
E)0.76
سؤال
The following ANOVA table is from a multiple regression analysis: 
The MSE value is ___.
A)20
B)400
C)2000
D)500
E)100
The MSE value is ___.A)20
B)400
C)2000
D)500
E)100
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ملء الشاشة (f)
Deck 13: Multiple Regression Analysis
1
The mean square error (MSerr)is calculated by dividing the sum of squares error (SSerr)by the number of observations in the data set (N).
False
2
The mean square error (MSerr)is calculated by dividing the sum of squares error (SSerr)by the number of error degrees of freedom (dferr).
True
3
In a multiple regression model the partial regression coefficient of an independent variable represents the increase in the y variable when that independent variable is increased by one unit if the values of all other independent variables are held constant.
True
4
The model y = 0 + 1x1 + 2x2 + 3x3 + is a first-order regression model.
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5
Understand the limitations and pitfalls of multiple regression analysis.
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6
In the multiple regression model y = 0 + 1x1 + 2x2 + 3x3 + ,the coefficients of the x variables are called partial regression coefficients.
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7
The model y = 0 + 1x1 + 2x2 + is a second-order regression model.
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8
Examine significance tests of both the overall regression model and the regression coefficients.
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9
In the estimated multiple regression model y = b0 + b1x1 + b2 x2,if the values of x1 and x2 are both increased by one unit,the value of y will increase by (b1+ b2)units.
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10
Regression analysis with one dependent variable and two or more independent variables is called multiple regression.
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11
The F value that is used to test for the overall significance a multiple regression model is calculated by dividing the mean square regression (MSreg)by the mean square error (MSerr).
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12
In the estimated multiple regression model y = b0 + b1x1 + b2 x2,if the value of x1 is increased by 2 and the value of x2 is increased by 3 simultaneously,the value of y will increase by (2b1+ 3b2)units.
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13
Explain how,by extending the simple regression model to a multiple regression model with two independent variables,it is possible to determine the multiple regression equation for any number of unknowns.
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14
In the model y = 0 + 1x1 + 2x2 + 3x3 + ,y is the independent variable.
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15
Calculate the residual,standard error of the estimate,coefficient of multiple determination,and adjusted coefficient of multiple determination of a regression model.
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16
The F value that is used to test for the overall significance a multiple regression model is calculated by dividing the sum of mean squares regression (SSreg)by the sum of squares error (SSerr).
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17
Multiple t tests are used to determine whether the overall regression model is significant.
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18
In the model y = 0 + 1x1 + 2x2 + 3x3 + , is a constant.
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19
Use a computer to find and interpret multiple regression outputs.
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20
The F test is used to determine whether the overall regression model is significant.
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21
In a multiple regression analysis with N observations and k independent variables,the degrees of freedom for the residual error is given by (N - k).
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22
A human resources analyst is developing a regression model to predict electricity production plant manager compensation as a function of production capacity of the plant,number of employees at the plant,and plant technology (coal,oil,and nuclear).The response variable in this model is ___.
A)plant manager compensation
B)plant capacity
C)number of employees
D)plant technology
E)nuclear
A)plant manager compensation
B)plant capacity
C)number of employees
D)plant technology
E)nuclear
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23
The multiple regression formulas used to estimate the regression coefficients are designed to ___.
A)minimize the total sum of squares (SST)
B)minimize the sum of squares of error (SSE)
C)maximize the standard error of the estimate
D)maximize the p value for the calculated F value
E)minimize the mean error
A)minimize the total sum of squares (SST)
B)minimize the sum of squares of error (SSE)
C)maximize the standard error of the estimate
D)maximize the p value for the calculated F value
E)minimize the mean error
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24
A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighbourhood (urban,suburban,and rural).The "neighbourhood" variable in this model is ___.
A)an independent variable
B)a response variable
C)a quantitative variable
D)a dependent variable
E)a constant
A)an independent variable
B)a response variable
C)a quantitative variable
D)a dependent variable
E)a constant
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25
A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch),production plant (Kingsland and Yorktown),and production shift (day and evening).In this model,"batch size" is ___.
A)a response variable
B)an indicator variable
C)a dependent variable
D)a qualitative variable
E)an independent variable
A)a response variable
B)an indicator variable
C)a dependent variable
D)a qualitative variable
E)an independent variable
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26
The standard error of the estimate of a multiple regression model is essentially the standard deviation of the residuals for the regression model.
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27
A multiple regression analysis produced the following tables: The sample size for this analysis is ___.
A)19
B)17
C)34
D)15
E)18
The sample size for this analysis is ___.A)19
B)17
C)34
D)15
E)18
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28
A human resources analyst is developing a regression model to predict electricity production plant manager compensation as a function of production capacity of the plant,number of employees at the plant,and plant technology (coal,oil,and nuclear).The "plant technology" variable in this model is ___.
A)a qualitative variable
B)a dependent variable
C)a response variable
D)an indicator variable
E)a quantitative variable
A)a qualitative variable
B)a dependent variable
C)a response variable
D)an indicator variable
E)a quantitative variable
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29
A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch),production plant (Kingsland and Yorktown),and production shift (day and evening).In this model,"shift" is ___.
A)a response variable
B)an independent variable
C)a quantitative variable
D)a dependent variable
E)a constant
A)a response variable
B)an independent variable
C)a quantitative variable
D)a dependent variable
E)a constant
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30
A human resources analyst is developing a regression model to predict electricity production plant manager compensation as a function of production capacity of the plant,number of employees at the plant,and plant technology (coal,oil,and nuclear).The "plant technology" variable in this model is ___.
A)a response variable
B)a dependent variable
C)a quantitative variable
D)an independent variable
E)a constant
A)a response variable
B)a dependent variable
C)a quantitative variable
D)an independent variable
E)a constant
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31
A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The "central heating" variable in this model is ___.
A)a response variable
B)a quantitative variable
C)a dependent variable
D)a qualitative variable
E)an independent variable
A)a response variable
B)a quantitative variable
C)a dependent variable
D)a qualitative variable
E)an independent variable
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32
The standard error of the estimate of a multiple regression model is computed by taking the square root of the mean squares of error.
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33
A cost accountant is developing a regression model to predict the total cost of producing a batch of printed circuit boards as a linear function of batch size (the number of boards produced in one lot or batch),production plant (Kingsland and Yorktown),and production shift (day and evening).The response variable in this model is ___.
A)batch size
B)production shift
C)production plant
D)total cost
E)variable cost
A)batch size
B)production shift
C)production plant
D)total cost
E)variable cost
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34
A multiple regression analysis produced the following tables: The regression equation for this analysis is ___.
A)y = 616.6849 + 3.33833 x1 + 1.780075 x2
B)y = 154.5535 - 1.43058 x1 + 5.30407 x2
C)y = 616.6849 - 3.33833 x1 - 1.780075 x2
D)y = 154.5535 + 2.333548 x1 + 0.335605 x2
E)y = 616.6849 - 3.33833 x1 + 1.780075 x2
The regression equation for this analysis is ___.A)y = 616.6849 + 3.33833 x1 + 1.780075 x2
B)y = 154.5535 - 1.43058 x1 + 5.30407 x2
C)y = 616.6849 - 3.33833 x1 - 1.780075 x2
D)y = 154.5535 + 2.333548 x1 + 0.335605 x2
E)y = 616.6849 - 3.33833 x1 + 1.780075 x2
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35
In a multiple regression analysis with N observations and k independent variables,the degrees of freedom for the residual error is given by (N - k - 1).
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36
In a multiple regression model,the proportion of the variation of the dependent variable,y,accounted for the independent variables in the regression model is given by the coefficient of multiple correlation.
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37
A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighbourhood (urban,suburban,and rural).The "income" variable in this model is ___.
A)an indicator variable
B)a response variable
C)a qualitative variable
D)a dependent variable
E)an independent variable
A)an indicator variable
B)a response variable
C)a qualitative variable
D)a dependent variable
E)an independent variable
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38
A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The response variable in this model is ___.
A)heated area
B)number of bedrooms
C)market value
D)central heating
E)residential houses
A)heated area
B)number of bedrooms
C)market value
D)central heating
E)residential houses
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39
A real estate appraiser is developing a regression model to predict the market value of single family residential houses as a function of heated area,number of bedrooms,number of bathrooms,age of the house,and central heating (yes,no).The "central heating" variable in this model is ___.
A)a response variable
B)an independent variable
C)a quantitative variable
D)a dependent variable
E)a constant
A)a response variable
B)an independent variable
C)a quantitative variable
D)a dependent variable
E)a constant
فتح الحزمة
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40
A market analyst is developing a regression model to predict monthly household expenditures on groceries as a function of family size,household income,and household neighbourhood (urban,suburban,and rural).The response variable in this model is ___.
A)family size
B)expenditures on groceries
C)household income
D)suburban
E)household neighbourhood
A)family size
B)expenditures on groceries
C)household income
D)suburban
E)household neighbourhood
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41
A multiple regression analysis produced the following tables: Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)8.68
B)6.36
C)8.40
D)6.11
E)3.36
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.A)8.68
B)6.36
C)8.40
D)6.11
E)3.36
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42
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
The R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
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43
A multiple regression analysis produced the following tables:
Using = 0.05 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)3.74
B)3.89
C)4.75
D)4.60
E)2.74
Using = 0.05 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)3.74
B)3.89
C)4.75
D)4.60
E)2.74
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44
A multiple regression analysis produced the following tables: These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is significant at the 5% level
D)x2 is significant at the 5% level
E)the intercept is not significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is significant at the 5% level
D)x2 is significant at the 5% level
E)the intercept is not significant at 5% level
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45
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for regression is ___.
A)1
B)4
C)34
D)30
E)35
The number of degrees of freedom for regression is ___.A)1
B)4
C)34
D)30
E)35
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46
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The MSR value is ___.
A)700.00
B)350.00
C)233.33
D)175.00
E)275.00
The MSR value is ___.A)700.00
B)350.00
C)233.33
D)175.00
E)275.00
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47
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The adjusted R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
The adjusted R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)0.30
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48
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The value of the standard error of the estimate se is ___.
A)13.23
B)3.16
C)17.32
D)26.46
E)10.00
The value of the standard error of the estimate se is ___.A)13.23
B)3.16
C)17.32
D)26.46
E)10.00
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49
A multiple regression analysis produced the following tables: For x1= 60 and x2 = 200,the predicted value of y is ___.
A)1,173.00
B)772.40
C)460.97
D)615.13
E)987.78
For x1= 60 and x2 = 200,the predicted value of y is ___.A)1,173.00
B)772.40
C)460.97
D)615.13
E)987.78
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50
In regression analysis,outliers may be identified by examining the ___.
A)coefficient of determination
B)coefficient of correlation
C)p values for the partial coefficients
D)residuals
E)R-squared value
A)coefficient of determination
B)coefficient of correlation
C)p values for the partial coefficients
D)residuals
E)R-squared value
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51
A multiple regression analysis produced the following tables:
Using = 0.05 to test the null hypothesis H0: 1 = 0,the critical t value is ___.
A)± 1.753
B)± 2.110
C)± 2.131
D)± 1.740
E)± 2.500
Using = 0.05 to test the null hypothesis H0: 1 = 0,the critical t value is ___.
A)± 1.753
B)± 2.110
C)± 2.131
D)± 1.740
E)± 2.500
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52
The following ANOVA table is from a multiple regression analysis: The sample size for the analysis is ___.
A)30
B)25
C)10
D)5
E)31
The sample size for the analysis is ___.A)30
B)25
C)10
D)5
E)31
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53
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The number of degrees of freedom for error is ___.
A)1
B)4
C)34
D)30
E)35
The number of degrees of freedom for error is ___.A)1
B)4
C)34
D)30
E)35
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54
A multiple regression analysis produced the following tables: These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at the 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at the 5% level
فتح الحزمة
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55
A multiple regression analysis produced the following tables:
Using = 0.10 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)±1.345
B)±1.356
C)±1.761
D)±2.782
E)±1.782
Using = 0.10 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)±1.345
B)±1.356
C)±1.761
D)±2.782
E)±1.782
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56
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The observed F value is ___.
A)17.50
B)2.33
C)0.70
D)0.43
E)0.50
The observed F value is ___.A)17.50
B)2.33
C)0.70
D)0.43
E)0.50
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57
A multiple regression analysis produced the following tables: The sample size for this analysis is ___.
A)12
B)15
C)14
D)28
E)24
The sample size for this analysis is ___.A)12
B)15
C)14
D)28
E)24
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58
A multiple regression analysis produced the following tables: The regression equation for this analysis is ___.
A)y = 752.0833 + 11.87375 x1 + 1.908183 x2
B)y = 752.0833 + 336.3158 x1 + 2.236241 x2
C)y = 336.3158 + 5.32047 x1+ 0.662742 x22
D)y = 2.236241 + 2.231711 x1 + 2.879226 x2
E)y = 2.236241 + 2.231711 x1 - 2.879226 x2
The regression equation for this analysis is ___.A)y = 752.0833 + 11.87375 x1 + 1.908183 x2
B)y = 752.0833 + 336.3158 x1 + 2.236241 x2
C)y = 336.3158 + 5.32047 x1+ 0.662742 x22
D)y = 2.236241 + 2.231711 x1 + 2.879226 x2
E)y = 2.236241 + 2.231711 x1 - 2.879226 x2
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59
A multiple regression analysis produced the following tables: For x1= 60 and x2 = 200,the predicted value of y is ___.
A)658.24
B)711.98
C)788.09
D)1,846.14
E)2,546.98
For x1= 60 and x2 = 200,the predicted value of y is ___.A)658.24
B)711.98
C)788.09
D)1,846.14
E)2,546.98
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60
The following ANOVA table is from a multiple regression analysis with n = 35 and four independent variables: The MSE value is ___.
A)8.57
B)8.82
C)10.00
D)75.00
E)20.00
The MSE value is ___.A)8.57
B)8.82
C)10.00
D)75.00
E)20.00
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61
The following ANOVA table is from a multiple regression analysis: The value of the standard error of the estimate se is ___.
A)20.00
B)44.72
C)4.47
D)22.36
E)12.47
The value of the standard error of the estimate se is ___.A)20.00
B)44.72
C)4.47
D)22.36
E)12.47
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62
A multiple regression analysis produced the following tables: The coefficient of multiple determination is ___.
A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)0.5000
The coefficient of multiple determination is ___.A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)0.5000
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63
A multiple regression analysis produced the following tables: The coefficient of multiple determination is ___.
A)0.0592
B)0.9138
C)0.1149
D)0.9559
E)1.0000
The coefficient of multiple determination is ___.A)0.0592
B)0.9138
C)0.1149
D)0.9559
E)1.0000
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64
A multiple regression analysis produced the following tables: The adjusted R2 is ___.
A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)1.0000
The adjusted R2 is ___.A)0.2079
B)0.0860
C)0.5440
D)0.7921
E)1.0000
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65
A multiple regression analysis produced the following tables: These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)all variables are significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)all variables are significant at 5% level
فتح الحزمة
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66
The following ANOVA table is from a multiple regression analysis: The number of independent variables in the analysis is ___.
A)30
B)25
C)1
D)5
E)2
The number of independent variables in the analysis is ___.A)30
B)25
C)1
D)5
E)2
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67
A multiple regression analysis produced the following tables: The sample size for this analysis is ___.
A)17
B)13
C)16
D)11
E)15
The sample size for this analysis is ___.A)17
B)13
C)16
D)11
E)15
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68
The following ANOVA table is from a multiple regression analysis: The SSE value is ___.
A)20
B)400
C)2000
D)500
E)2500
The SSE value is ___.A)20
B)400
C)2000
D)500
E)2500
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69
A multiple regression analysis produced the following tables:
Using = 0.01 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)± 1.174
B)± 2.093
C)± 2.131
D)± 4.012
E)± 3.012
Using = 0.01 to test the null hypothesis H0: 2 = 0,the critical t value is ___.
A)± 1.174
B)± 2.093
C)± 2.131
D)± 4.012
E)± 3.012
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70
A multiple regression analysis produced the following tables: For x1= 40 and x2 = 90,the predicted value of y is ___.
A)753.77
B)1,173.00
C)1,355.26
D)3,719.39
E)1,565.75
For x1= 40 and x2 = 90,the predicted value of y is ___.A)753.77
B)1,173.00
C)1,355.26
D)3,719.39
E)1,565.75
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71
A multiple regression analysis produced the following tables: The regression equation for this analysis is ___.
A)y = 302689 + 1153309 x1 + 1455998 x2
B)y = -139.609 + 24.24619 x1 + 32.10171 x2
C)y = 2548.989 + 22.25267 x1 + 17.44559 x2
D)y = -0.05477 + 1.089586 x1 + 1.840105 x2
E)y = 0.05477 + 1.089586 x1 + 1.840105 x2
The regression equation for this analysis is ___.A)y = 302689 + 1153309 x1 + 1455998 x2
B)y = -139.609 + 24.24619 x1 + 32.10171 x2
C)y = 2548.989 + 22.25267 x1 + 17.44559 x2
D)y = -0.05477 + 1.089586 x1 + 1.840105 x2
E)y = 0.05477 + 1.089586 x1 + 1.840105 x2
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72
A multiple regression analysis produced the following tables: These results indicate that ___.
A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at 5% level
These results indicate that ___.A)none of the predictor variables are significant at the 5% level
B)each predictor variable is significant at the 5% level
C)x1 is the only predictor variable significant at the 5% level
D)x2 is the only predictor variable significant at the 5% level
E)the intercept is not significant at 5% level
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73
The following ANOVA table is from a multiple regression analysis: The MSR value is ___.
A)20
B)400
C)2000
D)500
E)30
The MSR value is ___.A)20
B)400
C)2000
D)500
E)30
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74
A multiple regression analysis produced the following tables:
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)5.99
B)5.70
C)1.96
D)4.84
E)6.70
Using = 0.01 to test the null hypothesis H0: 1 = 2 = 0,the critical F value is ___.
A)5.99
B)5.70
C)1.96
D)4.84
E)6.70
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75
The following ANOVA table is from a multiple regression analysis: The R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.76
E)1.00
The R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.76
E)1.00
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76
A multiple regression analysis produced the following tables: For x1= 30 and x2 = 100,the predicted value of y is ___.
A)753.77
B)1,173.00
C)1,355.26
D)615.13
E)6153.13
For x1= 30 and x2 = 100,the predicted value of y is ___.A)753.77
B)1,173.00
C)1,355.26
D)615.13
E)6153.13
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77
A multiple regression analysis produced the following tables: The adjusted R2 is ___.
A)0.9138
B)0.9408
C)0.8982
D)0.8851
E)0.8891
The adjusted R2 is ___.A)0.9138
B)0.9408
C)0.8982
D)0.8851
E)0.8891
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78
The following ANOVA table is from a multiple regression analysis: The observed F value is ___.
A)20
B)400
C)2000
D)500
E)10
The observed F value is ___.A)20
B)400
C)2000
D)500
E)10
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79
The following ANOVA table is from a multiple regression analysis: The adjusted R2 value is ___.
A)0.80
B)0.70
C)0.66
D)0.86
E)0.76
The adjusted R2 value is ___.A)0.80
B)0.70
C)0.66
D)0.86
E)0.76
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80
The following ANOVA table is from a multiple regression analysis: The MSE value is ___.
A)20
B)400
C)2000
D)500
E)100
The MSE value is ___.A)20
B)400
C)2000
D)500
E)100
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فتح الحزمة
افتح القفل للوصول البطاقات البالغ عددها 80 في هذه المجموعة.
