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. = 5,000 + 1.2x₁ + 0.9x₂
n = 20 SSE = 500 SSR = 1,500
S_b1 = 0.2 S_b2 = 0.1
a.Is gender a significant variable?
b.Determine the multiple coefficient of determination.

Question

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
S_b1 = 0.2 S_b2 = 0.1
a.Is gender a significant variable?
b.Determine the multiple coefficient of determination.

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The Answer of 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. = 5,000 + 1.2x₁ + 0.9x₂ n = 20 SSE = 500 SSR = 1,500 S_b1 = 0.2 S_b2 = 0.1 a.Is gender a significant variable? b.Determine the multiple coefficient of determination.

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

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