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A Regression Model Relating the Yearly Income (Y), Age (X1)

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A regression model relating the yearly income (y), age (x1), and the gender of the faculty member of a university (x2 = 1 if female and 0 if male) resulted in the following information. A regression model relating the yearly income (y), age (x<sub>1</sub>), and the gender of the faculty member of a university (x<sub>2</sub> = 1 if female and 0 if male) resulted in the following information.   = 5,000 + 1.2x<sub>1</sub> + 0.9x<sub>2</sub> n = 20 SSE = 500 SSR = 1,500 S<sub>b1</sub> = 0.2 S<sub>b2</sub> = 0.1  a.Is gender a significant variable? b.Determine the multiple coefficient of determination. = 5,000 + 1.2x1 + 0.9x2
n = 20 SSE = 500 SSR = 1,500
Sb1 = 0.2 Sb2 = 0.1
a.Is gender a significant variable?
b.Determine the multiple coefficient of determination.

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a.t = 9 > ...

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