Below is some of the regression output from a regression of the gas mileage (expressed in miles per gallon) (MPG) an automobile gets versus the size of the car's engine (expressed in cubic liters) and the weight of the car (expressed in tons) Regression Statistics Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA df MS F Significance F Regression 574.7 287.4 96.3 8.08847E-06 Residual 3.0 Total 9 595.6 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 53.3 2.48 21.86 0.000 48.44 60.19 Engine Size -4.8 1.77 0.054 0.09 Weight -18 3.36 0.003 -24.41 Based on the regression output, if we wanted to test the following hypothesis: H0: coefficient on Weight is GREATER THAN -13.7 H 1: coefficient on Weight is LESS THAN -13.7 What is the critical value for this hypothesis test if we use a 5% level of significance? (please express your answer using 2 decimal places)

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Question 8
Below is some of the regression output from a
regression of the gas mileage (expressed in miles
per gallon) (MPG) an automobile gets versus the
size of the car's engine (expressed in cubic liters)
and the weight of the car (expressed in tons)
Regression Statistics
Multiple R
0.982
R Square
Adjusted R
Square
Standard Error
Observations
10
ANOVA
df
SS
MS
F
Significance F
Regression
574.7
287.4
96.3
8.08847E-06
Residual
3.0
Total
595.6
Coefficients Standard Error t Stat P-value
Upper 95%
Lower 95%
Intercept
53.3
2.48
21.86 0.000
48.44
60.19
Engine Size
-4.8
1.77
0.054
0.09
Weight
-18
3.36
0.003
-24.41
Based on the regression output, if we wanted to
test the following hypothesis:
H0: coefficient on Weight is GREATER THAN -13.7
H 1: coefficient on Weight is LESS THAN -13.7
What is the critical value for this hypothesis test if
we use a 5% level of significance? (please express
your answer using 2 decimal places)
Transcribed Image Text:Question 8 Below is some of the regression output from a regression of the gas mileage (expressed in miles per gallon) (MPG) an automobile gets versus the size of the car's engine (expressed in cubic liters) and the weight of the car (expressed in tons) Regression Statistics Multiple R 0.982 R Square Adjusted R Square Standard Error Observations 10 ANOVA df SS MS F Significance F Regression 574.7 287.4 96.3 8.08847E-06 Residual 3.0 Total 595.6 Coefficients Standard Error t Stat P-value Upper 95% Lower 95% Intercept 53.3 2.48 21.86 0.000 48.44 60.19 Engine Size -4.8 1.77 0.054 0.09 Weight -18 3.36 0.003 -24.41 Based on the regression output, if we wanted to test the following hypothesis: H0: coefficient on Weight is GREATER THAN -13.7 H 1: coefficient on Weight is LESS THAN -13.7 What is the critical value for this hypothesis test if we use a 5% level of significance? (please express your answer using 2 decimal places)
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