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7) What is the value of the correlation coefficient, r, for these data? [Round your answer to three (3) decimal places.] The remainder of this problem is about an analysis of a subset of the data (houses in Eastern Passage). Nothing from the earlier parts of the question based on the dataset that yield the regression model SellingPrice = 74936.9 + 0.887(AskingPrice) are needed. A scatterplot with a regression line based on data from houses in Eastern Passage is shown below. Fitted Line Plot SellingPrice = 69245 + 0.8568 AskingPrice 700000 S 23777.2 R-Sq 95.2% R-Sq(adj) 94.8% 600000 500000 SellingPrice 400000 300000 200000 200000 300000 400000 500000 600000 700000 AskingPrice(response is SellingPrice) 30000 . . 20000 10000 0 Residual -10000 -20000 -30000 -40000 -50000 250000 275000 300000 325000 350000 375000 400000 Fitted Value 10) Which of the following statements is best based on the Residuals Versus Fits graph? O A. Both the "straight enough" and "does the plot thicken?" conditions appear to be met. O B. Neither the "straight enough" nor "does the plot thicken?" conditions appear to be met. O C. The "does the plot thicken?" condition appears to be met becasue there is no obvious megaphone/fan pattern. O D. The "straight enough" condition appears to be met because there is no obvious curve pattern.8) Which of the following is the best description of the point indicated by the large magenta arrow? O A. This point IS a potentially influential point (high leverage point) and it IS an outlier. O B. This point is NOT a potentially influential point (high leverage point) but it IS an outlier. O C. This point IS a potentially influential point (high leverage point) but it is NOT an outlier. O D. This point is NOT a potentially influential point (high leverage point) and it is NOT an outlier. A histogram of the residuals from this regression analysis is shown below. Histogram (response is SellingPrice) 5 4 Frequency 2 0