A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X₁), age of the individuals (X₂), and the gender of the individual (X₃; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. $A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. a. Write the regression equation for the above.b. Interpret the meaning of the coefficient of X3. c. Compute the coefficient of determination. d. Is the coefficient of X1 significant? Use \alpha = 0.05. e. Is the coefficient of X2 significant? Use \alpha = 0.05. f. Is the coefficient of X3 significant? Use \alpha = 0.05. g. Perform an F test and determine whether or not the model is significant.$ $A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained. a. Write the regression equation for the above.b. Interpret the meaning of the coefficient of X3. c. Compute the coefficient of determination. d. Is the coefficient of X1 significant? Use \alpha = 0.05. e. Is the coefficient of X2 significant? Use \alpha = 0.05. f. Is the coefficient of X3 significant? Use \alpha = 0.05. g. Perform an F test and determine whether or not the model is significant.$
a. Write the regression equation for the above.b. Interpret the meaning of the coefficient of X3.
c. Compute the coefficient of determination.
d. Is the coefficient of X1 significant? Use

\alpha

= 0.05.
e. Is the coefficient of X2 significant? Use

\alpha

= 0.05.
f. Is the coefficient of X3 significant? Use

\alpha

= 0.05.
g. Perform an F test and determine whether or not the model is significant.

The Following Regression Model Has Been Proposed to Predict Sales

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