Deck 11: Regression Analysis
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Deck 11: Regression Analysis
1
In regression analysis:
A)the independent variable must be categorical in nature.
B)the variables being investigated must not be correlated.
C)the independent variable is indisputably influenced by the dependent variable.
D)one variable is believed to be influenced by the other.
A)the independent variable must be categorical in nature.
B)the variables being investigated must not be correlated.
C)the independent variable is indisputably influenced by the dependent variable.
D)one variable is believed to be influenced by the other.
one variable is believed to be influenced by the other.
2
If r = .84, the coefficient of determination is equal to:
A).29
B).50
C).71
D).8 4
A).29
B).50
C).71
D).8 4
.71
3
When the points in a scatter plot cluster closely around the regression line, the correlation Can be said to be:
A)weak.
B)strong.
C)neutral.
D)negat ive.
A)weak.
B)strong.
C)neutral.
D)negat ive.
strong.
4
The coefficient of determination explains:
A)the proportion of variance in Y that is determined or explained by X.
B)the proportion of variance in Y that is NOT determined or explained by X.
C)the proportion of variance in Y that is attributed to error.
D )the proportion of variance in X that is attributed to error.
A)the proportion of variance in Y that is determined or explained by X.
B)the proportion of variance in Y that is NOT determined or explained by X.
C)the proportion of variance in Y that is attributed to error.
D )the proportion of variance in X that is attributed to error.
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5
If a = 8 and b = 3, what would be the predicted outcome (Ŷ) for a person with X = 6?
A)19..
B)26.
C)30.
D)51 .
A)19..
B)26.
C)30.
D)51 .
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6
Which of the following is NOT a component of the regression equation?
A)Y-intercept
B)slope
C)error
D)st andard deviation
A)Y-intercept
B)slope
C)error
D)st andard deviation
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7
In regression analysis, Y is generally considered the __________ variable.
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8
The mathematical equation for a regression line is typically written:
A)
B)
C)
D)
A)

B)

C)

D)

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9
If the regression line is drawn accurately, the location where it crosses the Y axis is known As:
A)the Y-intercept.
B)the slope.
C)the X-intercept.
D)t he pivot point.
A)the Y-intercept.
B)the slope.
C)the X-intercept.
D)t he pivot point.
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10
If a = 3 and b = 5, a person scoring X = 8 would be predicted to have a Ŷ score of:
A)23.
B)29.
C)34.
D)43 .
A)23.
B)29.
C)34.
D)43 .
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11

A)Poisson's r
B)Pearson's r
C)Cramer's V
D)Go odman's gamma
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12
Regression analysis creates a mathematical function which predicts the value of the __________ on the basis of the __________.
A)independent variable; dependent variable
B)dependent variable; independent variable
C)correlation; variance
D)varia nce; correlation
A)independent variable; dependent variable
B)dependent variable; independent variable
C)correlation; variance
D)varia nce; correlation
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13
The square of Pearson's r (r2) is known as the:
A)square root.
B)coefficinet of nondetermination.
C)coefficient of determination.
D)sl ope.
A)square root.
B)coefficinet of nondetermination.
C)coefficient of determination.
D)sl ope.
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14
The coefficient of non-determination explains:
A)the proportion of variance in Y that is determined or explained by X.
B)the proportion of variance in Y that is NOT determined or explained by X.
C)the proportion of variance in Y that is attributed to error.
D )the proportion of variance in X that is attributed to error.
A)the proportion of variance in Y that is determined or explained by X.
B)the proportion of variance in Y that is NOT determined or explained by X.
C)the proportion of variance in Y that is attributed to error.
D )the proportion of variance in X that is attributed to error.
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15
The difference between the observed points and the regression line points is equal to:
A)the correlation.
B)the slope.
C)the error term.
D )the Y-intercept.
A)the correlation.
B)the slope.
C)the error term.
D )the Y-intercept.
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16

A).92
B).14
C).63
D).8 6
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17
In a regression equation, the slope accounts for:
A)the amount of change in Y for each unit change in X.
B)the amount of change in X for each unit change in Y.
C)the error.
D )the point where the regression line crosses the Y-axis when X = 0.
A)the amount of change in Y for each unit change in X.
B)the amount of change in X for each unit change in Y.
C)the error.
D )the point where the regression line crosses the Y-axis when X = 0.
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18
In a regression equation, b refers to:
A)the slope.
B)
C)a and b
D)none of the above
A)the slope.
B)

C)a and b
D)none of the above
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19
The variable being predicted in a regression analysis is called the:
A)independent variable.
B)dependent variable.
C)regression variable.
D)cont ingency variable.
A)independent variable.
B)dependent variable.
C)regression variable.
D)cont ingency variable.
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20
Which of the following is NOT a requirement for regression analysis?
A)interval data
B)straight line relationship
C)random sampling
D)All of the above ARE requirements.
A)interval data
B)straight line relationship
C)random sampling
D)All of the above ARE requirements.
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21
Regression generally assumes a __________ line relationship
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22
An underlying assumption of regression is that both variables are measured at the __________ level.
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23
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
Make a prediction for the number of wins a team would have with an ERA of 4.50.
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

Make a prediction for the number of wins a team would have with an ERA of 4.50.
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24
To test the significance of the regression line, one must assume __________for both variables or else have a large sample.
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25
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
What is the slope of the regression line?
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

What is the slope of the regression line?
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26
The __________ quantity of the coefficient of determination is the coefficient of nondetermination.
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27
The question below refers to the following situation:
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:
Calculate the coefficient of determination.
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:

Calculate the coefficient of determination.
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28
The question below refers to the following situation:
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:
If someone is 15 years old, how many hours spent per week playing video games does the equation predict?
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:

If someone is 15 years old, how many hours spent per week playing video games does the equation predict?
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29
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
What is the Y-intercept?
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

What is the Y-intercept?
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30
The question below refers to the following situation:
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:
What is the Y-intercept?
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:

What is the Y-intercept?
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31
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
Calculate and interpret the coefficient of non-determination.
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

Calculate and interpret the coefficient of non-determination.
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32
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
Calculate the correlation coefficient.
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

Calculate the correlation coefficient.
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33
The caret symbol
above the Y in the regression equation means __________.

above the Y in the regression equation means __________.
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34
If the coefficient of determination = .8, then the coefficient of nondetermination =__________.
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35
__________ equations are frequently used to project the impact of the independent variable (X) beyond its range in the sample.
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36
In the regression equation, the symbol for the slope is __________.
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37
The question below refers to the following situation:
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:
Calculate and interpret the coefficient of determination.
The table below contains the Earned Run Averages (ERA) and team victories for the American Baseball League during a recent season. ERA is the number of earned runs (runs resulting from the other team hitting the ball, not because of errors in the field) a team gives up per 9 innings. The lower the ERA, the better for the team. A low ERA is usually an indication of good pitching, good defense, or both. Given the data below:

Calculate and interpret the coefficient of determination.
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38
The question below refers to the following situation:
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:
Calculate the regression line.
A researcher is interested in the relationship between age and the number of hours spent per week playing video games. Her data are as follows:

Calculate the regression line.
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39
Sample members must be chosen __________ to employ tests of significance.
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