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# Consider a multiple regression model, where the response Y is the salary (in thousands); X1 is experience at (years at) the company; X2 is a dummy...

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Consider a multiple regression model, where the response Y is the salary (in thousands); X1 is experience at (years at) the company; X2 is a dummy variable coded 1 if the person is younger than 25 years old; X3 is a dummy variable coded 1 if the person is 25-35 years old; and G is gender. Software estimates the model as Y = 30 + 3 X1 - 3 X2 - 2.6 X3 + 2G and the p-value corresponding to the coefficient for X2 is 0.03. We can conclude (using the 5% significance level) that for a fixed gender and number of years with a company A) those younger than 25 make significantly more than those over 25 B) those younger than 25 make significantly less than those over 25 C) the difference in salary between those younger than 25 and those over 25 is not significant D) the difference in salary between those younger than 25 and those over 35 is not significant E) those younger than 25 make significantly more than those over 35 F) those younger than 25 make significantly less than those over 35

Consider a multiple regression model, where the response Y is the salary (in
thousands); X1 is experience at (years at) the company; X2 is a dummy variable
coded 1 if the person is younger than 25...

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