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a. Complete the missing values of the above table. b. What is the

estimated regression equation? c. Interpret b1 and b2 in this estimated regression equation d. Predict y when X1 = 65 and X2 = 70. e. Compute R-square. f. Comment on the goodness of fit of the model. g. Compute F and use it to test whether the overall model is significant using a p-value (α = 0.05). h. Perform a t test using the critical value approach for the significance of β1. Use a level of significance of 0.05. i. Perform a t test using the critical value approach for the significance of β2. Us e a level of significance of 0.05.

qa_attachment_1593147379325.jpg
The following output was obtained from a regression analysis of the dependent variable Rating and an
independent variable Price.
ANOVA
MS
LL
Regression
400.97
Residual
Ln
Total
435.5
Coefficients
Standard Error
t Stat
P-value
Intercept
13.30
4.03
0.0215
0.995
4.955
0.0043
-0.330
0.288
-1.145
0.3040

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