Question 1

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

We need to perform a hypothesis test to determine whether there is a significant linear relationship between x and y. To do this, we will test the hypothesis H0: β1 = 0 (there is no linear relationship) versus Ha: β1 ≠ 0 (there is a linear relationship), where β1 is the slope of the regression line. Using a statistical software, we obtain the regression equation: y ^ = 188.92 + 0.40x, with R-squared = 0.278 (low but non-zero). The slope estimate is 0.40, with a standard error of 0.13 and a t-statistic of 3.07 (df = 6, p-value = 0.019). Since the p-value is less than the significance level of 0.05, we reject H0 and conclude that there is significant evidence of a linear relationship between x and y. Therefore, the best choice is B (Reject H₀).

Question 2

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

(0.7370, 0.9716)

Question 3

&#10;A) 1.3235&#10;B) 9.9632&#10;C) 68.0000&#10;D) 1.9043

Accepted Answer

The slope $ b_1 $ is calculated using the formula $ b_1 = \frac{\sum{(x_i - \bar{x})(y_i - \bar{y})}}{\sum{(x_i - \bar{x})^2}} $. After computing the necessary sums and averages, the result is approximately 1.3235.

Question 4

The summary statistics for a certain set of points are: , and Assume the conditions of the linear model hold. A 95% confidence interval for will be constructed.
Construct the 95% confidence interval.

A)

<strong>The summary statistics for a certain set of points are: , and Assume the conditions of the linear model hold. A 95% confidence interval for will be constructed. Construct the 95% confidence interval.</strong> A) B) C) D) <div style=padding-top: 35px>

B)

C)

D)

Accepted Answer

The summary statistics provided do not include a test statistic or p-value directly related to testing the hypothesis about $\beta_1$. Without these or additional information (like the standard error of $\beta_1$), we cannot conclusively reject or fail to reject the null hypothesis based on the information given.

Question 5

What is the value of the test statistic?&#10;A) 0.005378&#10;B) 3.388947&#10;C) 12&#10;D) 6.049805

Accepted Answer

The test statistic in the display is labeled as "t" and has a value of 3.388947. This corresponds to choice B.

Question 6

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

We will use the formula for the least-squares regression line:

\begin{align*}
\hat{y} &= b_0 + b_1 x \
\end{align*}

where $\hat{y}$ is the predicted auditory response time, $x$ is the visual response time, $b_0$ is the y-intercept, and $b_1$ is the slope.

To find the values of $b_0$ and $b_1$, we need to calculate several quantities:

\begin{align*}
\bar{x} &= \frac{1}{n} \sum_{i=1}^n x_i = 208.25 \
\bar{y} &= \frac{1}{n} \sum_{i=1}^n y_i = 202.5 \
S_{xx} &= \sum_{i=1}^n (x_i - \bar{x})^2 = 6867.75 \
S_{yy} &= \sum_{i=1}^n (y_i - \bar{y})^2 = 5774 \
S_{xy} &= \sum_{i=1}^n (x_i - \bar{x})(y_i - \bar{y}) = 4342.5 \
\end{align*}

Using these values, we can calculate the slope:

\begin{align*}
b_1 &= \frac{S_{xy}}{S_{xx}} = \frac{4342.5}{6867.75} \approx 0.63225 \
\end{align*}

And then we can calculate the y-intercept:

\begin{align*}
b_0 &= \bar{y} - b_1 \bar{x} = 202.5 - 0.63225(208.25) \approx 72.816875 \
\end{align*}

So the equation for the least-squares regression line is:

\begin{align*}
\hat{y} &= 72.816875 + 0.63225 x \
&\approx 0.842152 + 25.345634 x \
\end{align*}

Therefore, the best choice is C.

Question 7

Use the given set of points to test the null hypothesis level of significance. A) Reject H₀ B) Do not reject H₀

Accepted Answer

We need to perform a hypothesis test to determine if there is evidence to reject the null hypothesis that the slope of the population regression line is zero (i.e., no linear relationship between x and y) at the 0.01 level of significance. We can use the simple linear regression model: $$y_i = \beta_0 + \beta_1 x_i + \varepsilon_i$$ where $y_i$ is the i-th observation of the response variable, $x_i$ is the i-th observation of the explanatory variable, $\beta_0$ is the intercept, $\beta_1$ is the slope, and $\varepsilon_i$ is the error term associated with the i-th observation. We can use software or manual calculations to obtain the estimated regression equation based on the given data: $$\hat{y} = \hat{\beta_0} + \hat{\beta_1}x$$ where $$\hat{\beta_1}=\frac{\sum_{i=1}^{n}(x_i-\bar{x})(y_i-\bar{y})}{\sum_{i=1}^{n}(x_i-\bar{x})^2}$$ and $$\hat{\beta_0}=\bar{y}-\hat{\beta_1}\bar{x}$$ Using the given data, we obtain: \begin{align*} \hat{\beta_1} &= \frac{(14-10.125)(32-26.375)+(7-10.125)(17-26.375)+(15-10.125)(36-26.375)+(10-10.125)(26-26.375)\ &\quad+(9-10.125)(21-26.375)+(6-10.125)(15-26.375)+(14-10.125)(34-26.375)+(15-10.125)(37-26.375)}{(14-10.125)^2+(7-10.125)^2+(15-10.125)^2+(10-10.125)^2\ &\quad+(9-10.125)^2+(6-10.125)^2+(14-10.125)^2+(15-10.125)^2} \ &= \frac{119.75}{104.125} \ &= 1.150 \end{align*} and \begin{align*} \hat{\beta_0} &= \bar{y}-\hat{\beta_1}\bar{x} \ &= 27 - 1.150 imes 10.875 \ &= 14.51 \end{align*} The estimated regression equation is therefore: $$\hat{y} = 14.51 + 1.150 x$$ Now we need to test whether the population slope is significantly different from zero. The null and alternative hypotheses are: $$H_0 : \beta_1 = 0$$ $$H_1 : \beta_1 e 0$$ We can calculate the t-statistic for testing the null hypothesis: $$t = \frac{\hat{\beta_1}-0}{ ext{SE}(\hat{\beta_1})}$$ where $ ext{SE}(\hat{\beta_1})$ is the standard error of the estimate of $\hat{\beta_1}$, given by: $$ ext{SE}(\hat{\beta_1}) = \frac{ ext{RSS}}{\sqrt{n-2} \sqrt{\sum_{i=1}^n (x_i-\bar{x})^2}}$$ where RSS is the residual sum of squares: $$ ext{RSS} = \sum_{i=1}^n \hat{\varepsilon_i}^2 = \sum_{i=1}^n (y_i - \hat{y_i})^2$$ Using the values obtained above, we have: \begin{align*} ext{RSS} &= (32-25.25)^2 + (17-18.06)^2 + (36-32.15)^2 + (26-23.60)^2 + (21-20.75)^2 \ &\quad+ (15-14.35)^2 + (34-25.25)^2 + (37-32.15)^2 \ &= 97.24 \ ext{SE}(\hat{\beta_1}) &= \frac{97.24}{\sqrt{8} \sqrt{\sum_{i=1}^8 (x_i-\bar{x})^2}} \ &= 0.5039 \ t &= \frac{1.150-0}{0.5039} \ &= 2.281 \end{align*} Using a t-table with $n-2=6$ degrees of freedom at the 0.01 level of significance (two-tailed test), the critical value is $t_{0.005,6}=3.707$. Since $|t|=2.281<3.707$, we do not reject the null hypothesis. However, we can also obtain the p-value using software or a t-table. The two-tailed p-value is the probability of observing a t-statistic as extreme or more extreme than the observed one (in absolute value) under the null hypothesis. For $n-2=6$ degrees of freedom and $|t|=2.281$, the p-value is approximately 0.056, which is greater than the chosen level of significance $\alpha=0.01$. Therefore, we do not reject the null hypothesis. Therefore, the correct answer is A, Reject H₀.

Question 8

What is the critical value?&#10;A) 3.250&#10;B) 2.821&#10;C) 3.355&#10;D) 2.896

Accepted Answer

The critical value for a 99% confidence interval with 8 degrees of freedom (df = n - 2) is 3.355. This can be found using a t-distribution table or a calculator.

Question 9

The summary statistics for a certain set of points are: n=10, s_e=3.199,

=11.257, and

=1.704 . Assume the conditions of the linear model hold. A 99% confidence interval for 11ec916b_6e28_0fa2_a226_b17a14146f0a_TB34225555_11 will be constructed.
i). How many degrees of freedom are there for the critical value?
ii). What is the critical value?
iii). What is the margin of error?
iv). Construct the 99% confidence interval.

Accepted Answer

The answer of The summary statistics for a certain set...

Question 10

&#10;A) 1.7238&#10;B) 10.1596&#10;C) 1.4149&#10;D) 23.5000

Accepted Answer

To find the sum of squares for $x$, $\sum ( x - \bar { x } ) ^ { 2 }$, first calculate the mean of $x$ values: $\bar{x} = \frac{5 + 9 + 10 + 7 + 7 + 10 + 6 + 8}{8} = \frac{62}{8} = 7.75$. Then, calculate each $x - \bar{x}$ squared and sum them: $(5 - 7.75)^2 + (9 - 7.75)^2 + (10 - 7.75)^2 + (7 - 7.75)^2 + (7 - 7.75)^2 + (10 - 7.75)^2 + (6 - 7.75)^2 + (8 - 7.75)^2 = 23.5$.

Question 11

Use the given set of points to compute the margin of error for a 95% confidence interval for   .  &#10;A) 1.01&#10;B) 0.4127&#10;C) 2.6388&#10;D) 2.0734

Accepted Answer

The answer of Use the given set of points to...

Question 12

&#10;A) 2.1184&#10;B) 0.1216&#10;C) 1.2865&#10;D) 111.8750

Accepted Answer

The answer of  &#10;A) 2.1184&#10;B) 0.1216&#10;C) 1.2865&#10;D) 111.8750...

Question 13

What is the margin of error?&#10;A) 41.002571&#10;B) 1.391921&#10;C) 1.146365&#10;D) 1.399143

Accepted Answer

The answer of   What is the margin of...

Question 14

The following display from a TI-84 Plus calculator presents the results of a test of the null hypothesis     How many degrees of freedom did the calculator use?&#10;A) 4&#10;B) 7&#10;C) 8&#10;D) 6

Accepted Answer

The answer of The following display from a TI-84 Plus...

Question 15

Use the given set of points to construct a 95% confidence interval for  .&#10; &#10;A)  &#10;B)  &#10;C)  &#10;D)

Accepted Answer

The answer of Use the given set of points to...

Question 16

Use the given set of points to compute the residual standard deviation    &#10;A) 7.9164&#10;B) 44.8750&#10;C) 1.6379&#10;D) 2.5696

Accepted Answer

The answer of Use the given set of points to...

Question 17

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 18

Use the given set of points to
a). Compute b₁.
b). Compute the residual standard deviation s_e.
c). Compute the sum of squares for x,

Use the given set of points to a). Compute b<sub>1</sub>. b). Compute the residual standard deviation s<sub>e</sub>. c). Compute the sum of squares for x, d). Compute the standard error of b<sub>1</sub>, s<sub>b</sub>. e). Find the critical value for a 95% confidence interval for f). Compute the margin of error for a 95% confidence interval for g). Construct a 95% confidence interval for h). Test the null hypothesis versus Use the =0.05 level of significance. <div style=padding-top: 35px>

d). Compute the standard error of b₁, s_b.
e). Find the critical value for a 95% confidence interval for

f). Compute the margin of error for a 95% confidence interval for

g). Construct a 95% confidence interval for

h). Test the null hypothesis

versus

Use the

=0.05 level of significance.

Accepted Answer

The answer of Use the given set of points to&#10;a)....

Question 19

The summary statistics for a certain set of points are: , and Assume the conditions of the linear model hold. A 95% confidence interval for will be constructed.
Construct the 95% confidence interval.

A)

B)

C)

D)

Accepted Answer

The answer of The summary statistics for a certain set...

Question 20

How many degrees of freedom are there for the critical value?&#10;A) 22&#10;B) 23&#10;C) 21&#10;D) 24

Accepted Answer

The answer of   How many degrees of freedom...

Question 21

&#10;A) (57.40, 63.18)&#10;B) (56.52, 64.05)&#10;C) (58.77, 61.81)&#10;D) (58.31, 62.26)

Accepted Answer

The answer of  &#10;A) (57.40, 63.18)&#10;B) (56.52, 64.05)&#10;C) (58.77,...

Question 22

Use the given set of points to&#10;a). Compute   and  .&#10;b). Compute the predicted value   for the given value of x.&#10;c). Compute the residual standard deviation  &#10;d). Compute the sum of squares for  &#10;e). Find the critical value for a 95% confidence or prediction interval.&#10;f). Construct a 95% confidence interval for the mean response for the given value of x.&#10;g). Construct a 95% prediction interval for an individual response for the given value of x.&#10;

Accepted Answer

The answer of Use the given set of points to&#10;a)....

Question 23

&#10;A) 15.666667&#10;B) 65.333333&#10;C) 2.475389&#10;D) 4.112245

Accepted Answer

The answer of  &#10;A) 15.666667&#10;B) 65.333333&#10;C) 2.475389&#10;D) 4.112245...

Question 24

&#10;A) 3.191939&#10;B) 0.730472&#10;C) 16.166667&#10;D) 4.230326

Accepted Answer

The answer of  &#10;A) 3.191939&#10;B) 0.730472&#10;C) 16.166667&#10;D) 4.230326...

Question 25

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to
an auditory stimulus (y) were recorded for each of 8 subjects. Times were measured in thousandths of
a second. The results are presented in the following table.

i). Compute a point estimate for the mean auditory response time for subjects with a visual response time of
183.
ii). Construct a 99% confidence interval for the mean auditory response time for subjects with a
visual response time of 183.
iii). Predict the auditory response time for a particular subject whose visual response time of 183.
iv). Construct a 99% prediction interval for the auditory response time for a particular subject whose
visual response time is 183.

Accepted Answer

The answer of In a study of reaction times, the...

Question 26

The following display from a TI-84 Plus calculator presents the results of a test of the null hypothesis

Can you conclude that the explanatory variable is useful in predicting the outcome variable? Answer this question using the level of significance.

A) No
B) Yes

Accepted Answer

The answer of The following display from a TI-84 Plus...

Question 27

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 28

What is the P-value?&#10;A) 2.454834&#10;B) 6.956787&#10;C) 8&#10;D) 0.039637

Accepted Answer

The answer of   What is the P-value?&#10;A) 2.454834&#10;B)...

Question 29

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 30

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 31

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action?

A) Drop x₄, then see whether R² increases
B) Drop x₁, then see whether R² increases
C) Drop x₄, then see whether adjusted R² increases
D) Drop x₁, then see whether adjusted R² increases

Accepted Answer

The answer of The following MINITAB output presents a 95%...

Question 32

Use the given set of points to compute b₀ and b₁. A) b₀=0 ; b₁=3.860274 B) b₀=10.572603 ; b₁=3.860274 C) b₀=3.860274 ; b₁=10.572603 D) b₀=14.833333 ; b₁=10.572603

Accepted Answer

The answer of Use the given set of points to...

Question 33

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 34

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 35

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 36

In a study of reaction times, the time to respond to a visual stimulus (x) and the time to respond to an auditory stimulus (y) were recorded for each of 6 subjects. Times were measured in thousandths of
A second. The results are presented in the following table.
The following MINITAB output describes the fit of a linear model to these data. Assume that the assumptions
Of the linear model are satisfied.

What is the slope of the least-squares regression line?

A) 0.4671
B) 0.081367
C) 9.916568
D) 169.803813

Accepted Answer

The answer of In a study of reaction times, the...

Question 37

&#10;A) (90.66, 91.49)&#10;B) (90.54, 91.62)&#10;C) (90.10, 92.05)&#10;D) (89.81, 92.34)

Accepted Answer

The answer of  &#10;A) (90.66, 91.49)&#10;B) (90.54, 91.62)&#10;C) (90.10,...

Question 38

&#10;A) (0.59, 6.57)&#10;B) (1.24, 5.92)&#10;C) (0.72, 6.44)&#10;D) (0, 5.92)

Accepted Answer

The answer of  &#10;A) (0.59, 6.57)&#10;B) (1.24, 5.92)&#10;C) (0.72,...

Question 39

Use the given set of points to compute the predicted value   for the given value of x.&#10;  &#10;A) 47.2615&#10;B) 57.8&#10;C) 130.4&#10;D) 126.4615

Accepted Answer

The answer of Use the given set of points to...

Question 40

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action?

A) Drop x₄, then see whether R² increases
B) Drop x₁, then see whether R² increases
C) Drop x₄, then see whether adjusted R² increases
D) Drop x₁, then see whether adjusted R² increases

Accepted Answer

The answer of The following MINITAB output presents a 95%...

Question 41

The following MINITAB output presents a confidence interval for a mean response and a prediction&#10;interval for an individual response.   What is the 95% confidence interval for the mean response?

Accepted Answer

The answer of The following MINITAB output presents a confidence...

Question 42

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action?

A) Drop x₄, then see whether R² increases
B) Drop x₁, then see whether R² increases
C) Drop x₄, then see whether adjusted R² increases
D) Drop x₁, then see whether adjusted R² increases

Accepted Answer

The answer of The following MINITAB output presents a multiple...

Question 43

Construct the multiple regression sequence =b₀+b₁x₁+b₂x₂+b₃x₃ for the following data set: A) =3.8708+0.2200 x₁-0.1503 x₂+22.4605 x₃ B) =3.5766+0.1982 x₁-0.1453 x₂+22.0113 x₃ C) =22.0113-0.1453 x₁+0.1982 x₂+3.5766 x₃ D) =22.4605-0.1503 x₁+0.2200 x₂+3.8708 x₃

Accepted Answer

The answer of Construct the multiple regression sequence =b₀+b₁x₁+b₂x₂+b₃x₃...

Question 44

The following table lists values measured for 10 consecutive eruptions of the geyser Old Faithful in Yellowstone National Park. They are the duration, in minutes, of the eruption , the dormant
Period before the eruption , and the dormant period after the eruption (y).
Construct the multiple regression equation =b₀+b₁x₁+b₂x₂

A) 11ecb400_b9ed_77b4_8ce8_434575de6d27_TB1209_11=122.22-1.85 x₁-0.62 x₂
B) 11ecb400_b9ed_77b4_8ce8_434575de6d27_TB1209_11=118.78-1.7675 x₁-0.5856 x₂
C) 11ecb400_b9ed_77b4_8ce8_434575de6d27_TB1209_11=-0.62-1.85 x₁+122.22 x₂
D) 11ecb400_b9ed_77b4_8ce8_434575de6d27_TB1209_11=-0.5856-1.7675 x₁+118.78 x₂

Accepted Answer

The answer of The following table lists values measured for...

Question 45

b3x3 What percentage of the variation in y is explained by the model?&#10;A) 50.0%&#10;B) 42.3%&#10;C) 0.3%&#10;D) 7.7396%

Accepted Answer

The answer of   b3x3 What percentage of the...

Question 46

Is the model useful for prediction? Use the &#58245; = 0.05 level.&#10;A) Yes&#10;B) No

Accepted Answer

The answer of   Is the model useful for...

Question 47

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

Let be the coefficient Test the hypothesis versus level. What do you conclude?

A) Reject H₀
B) Do not reject H₀

Accepted Answer

The answer of The following MINITAB output presents a multiple...

Question 48

&#10;A) 9.798&#10;B) 9.8031&#10;C) 10.6228&#10;D) 11.7599

Accepted Answer

The answer of  &#10;A) 9.798&#10;B) 9.8031&#10;C) 10.6228&#10;D) 11.7599...

Question 49

The following MINITAB output presents a confidence interval for a mean response and a prediction&#10;interval for an individual response.

Accepted Answer

The answer of The following MINITAB output presents a confidence...

Question 50

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

It is desired to drop one of the explanatory variables. Which of the following is the most appropriate action?

A) Drop x₄, then see whether R² increases
B) Drop x₁, then see whether R² increases
C) Drop x₄, then see whether adjusted R² increases
D) Drop x₁, then see whether adjusted R² increases

Accepted Answer

The answer of The following MINITAB output presents a 95%...

Question 51

The following MINITAB output presents a multiple regression equatior =b₀+b₁x₁+b₂x₂+b₃x₃+b₄x₄

Let be the coefficient Test the hypothesis versus level. What do you conclude?

A) Reject H₀
B) Do not reject H₀

Accepted Answer

The answer of The following MINITAB output presents a multiple...

Deck 13: Inference in Linear Models