Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

(d) From this output box, you should be able to find the linear regression equat

ID: 3224557 • Letter: #

Question

(d) From this output box, you should be able to find the linear regression equation. In the next line you will see the regression equation. Fill in the values for the intercept and the appropriate slopes. Round to three decimals. SOLD = + *YEARS + *EDUCATION (e) Note that the p-value for EDUCATION (0.553) is not significant, so we would be very careful about using this linear regression model to make predictions. But, based on this model, if a realtor is in business for 10 years and has 12 years of education, how many houses is she predicted to sell? Round your answer to the nearest whole number.

Explanation / Answer

A.d) Form the table,

constant=9.742

coefficient of business years=0.766

coefficient of education=-0.700

hence the regression equation is given as

SOLD=9.742+0.766*YEARS-0.700*EDUCATION

A.e) Given,

business years=10

education years=12

houses predicted to be sold?

sold=9.742+0.766*10-0.700*12

sold=9.002 or 9 houses

she is predicted to sell 9 houses

A.d) Form the table,

constant=9.742

coefficient of business years=0.766

coefficient of education=-0.700

hence the regression equation is given as

SOLD=9.742+0.766*YEARS-0.700*EDUCATION

A.e) Given,

business years=10

education years=12

houses predicted to be sold?

sold=9.742+0.766*10-0.700*12

sold=9.002 or 9 houses

she is predicted to sell 9 houses