Question

A home appraisal company would like to develop a regression model that would predict the selling price of a house based on the age of the house in years (Age), the living area of the house in square feet (Living Area) and the number of bedrooms (Bedrooms). The given Excel output shows the partially completed regression output from a random sample of homes that have recently sold. How many homes were included in the sample? EEB Click the icon to view the Excel output Excel Output OA. 15 ОВ. 14 O C. 16 Data Confidence Level Multiple R R Square Adjusted R Square Standard Error Observations 0.8486 36,009.01 Area ANOVA 436,226 MS cance F For Average Predicted Y 36,709,265,905.7 0.0022 Interval Half Width Confidence Interval Lower Limit Confidence Interval 33,577 Total 14 50,972,400,000.00 Limit Standard Error t Stat Avalue Lower 95% For Individual Intercept 108,597.3721 580.6870 86.8282 31,261.9127 101,922 3333 2,092.4981 27.6994 11,006.8696 0.3095 0.7865 0.0095 0.0161 Interval Half Width Prediction Interval Lower Limit Prediction Interval 86,074 Click to select your answer Living Area Bedrooms Limit

Answer 1

Solution :

From given output ,

df = 14

n = df + 1 = 14 + 1 = 15

15 homes were included in the sample .

A)