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An agent for a real estate company in a large city would like to be able to predict the monthly rental cost for apartments, based on the size of the apartment, as defined by square footage. A sample of eight apartments in a neighborhood was selected, and the information gathered revealed the data shown below. For these data, the regression coefficients are by = 150.4267 and b, = 1.0491, Complete parts (a) through (d). Monthly Rent ($) 900 1,450 850 1,600 1,950 950 1,700 1,350 Size (Square Feet) 800 1,300 950 1,250 1,800 650 1,250 1,100 a. Determine the coefficient of determination, ro, and interpret its meaning =(Round to three decimal places as needed.) What is the meaning of r27 O A. r measures the proportion of variation in apartment size that can be explained by the variation in monthly rent. O B. r measures the proportion of variation in monthly rent that cannot be explained by the variation in apartment size. O C. r measures the proportion of variation in apartment size that cannot be explained by the variation in monthly rent. O D. r' measures the proportion of variation in monthly rent that can be explained by the variation in apartment size. b. Determine the standard error of the estimate, Syx. Syx = (Round to three decimal places as needed.) c. How useful is this model for predicting the monthly rent? A. It is very useful for predicting the monthly rent because r" is close to 1 and Syx is fairly small compared to the actual rents. O B. it is not very useful for predicting the monthly rent because although r is close to 1, Syx is fairly small compared to the actual rents. nell is very useful for predicting the monthly rent because " is close to 1. Sure does not indicate whether a rearession model is useful. Click to select your answer(s). 7