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 = 0.05.
e. Is the coefficient of X2 significant? Use = 0.05.
f. Is the coefficient of X3 significant? Use = 0.05.
g. Perform an F test and determine whether or not the model is significant.
Definitions:
Q14: Refer to Exhibit 15-6. The F value
Q36: The degrees of freedom for a contingency
Q37: Consider the following annual series on the
Q42: Refer to Exhibit 15-6. The t value
Q47: Refer to Exhibit 21-3. The recommended decision
Q48: If there is a very strong correlation
Q62: Refer to Exhibit 16-2. The value of
Q75: Refer to Exhibit 16-4. The degrees of
Q76: From the courthouse records, it is
Q78: The chi-square values (for interval estimation) for