The same data set from exercise 13.19 also has gender information for each engineer. The binary variable Male = 1 indicates the engineer is male and Male = 0 indicates the engineer is female. Run the regression with Salary as the response variable and Years, YearsSq, Male, and Years 3 Male as the explanatory variables. Report the p-values for the binary variable Male and the interaction term Years 3 Male. Are these two variables significant? Use α = .10.
Answer to relevant QuestionsUsing the "Vail Guest Satisfaction Survey" data, construct a correlation matrix of the 11 in- dependent variables. The response variable is ovalue. (a) Identify the four pairs of independent variables that have the highest ...Perform the regression and write the estimated regression equation (round off to 3 or 4 significant digits for clarity). Do the coefficient signs agree with your a priori expectations? (a) If you did not already do so, rerun the regression requesting variance inflation factors (VIFs) for your predictors. (b) Do the VIFs suggest that multicollinearity is a problem? Explain. Using test data on 20 types of laundry detergent, an analyst fitted a regression to predict Cost- PerLoad (average cost per load in cents per load) using binary predictors TopLoad (1 if washer is a top-loading model, 0 ...Refer to the ANOVA table below. (a) State the degrees of freedom for the F test for overall significance. (b) Use Appendix F to look up the critical value of F for α = .05. (c) Calculate the F statistic. Is the ...
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