Question: 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

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.
The same data set from exercise 13.19 also has gender

Engineer Salaries, Years of Experience, and Gender at Solnar Company (n-39) Salaries Salaries (S) Years YearsSq Male Years x Male 48,000 50,000 52,000 0 0 131,000 134,000 134,000 20 32 35 400 1,023 1,225 20 32 35

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MegaStat Output is below Male p value 5009 Years x Male p value 0505 The binary variable M... View full answer

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