14. John's parents recorded his height at various ages between 36 and 66 months. Below is a record of the results: 60 66 43 45 Age (months) Height (inches) 36 34 48 54 38 41 Which of the following is the equation of the least-squares regression line of John's height on age? (Note: You do not need to directly calculate the least-squares regression line to answer this qu O Height = 12 x (Age) O Height = Age/12 O Height = 60 - 0.22 x (Age) O Height = 22.3 + 0.34 x (Age) 15. A researcher at a large company has collected data on the beginning salary and current salary of 48 randomly selected employees. The least-squares regression equation for predicting their curre beginning salary is = -2532.7 + 2.12x. Mrs. Kathy Jones started working for the company earning $19,000. She currently earns $40,000. What is the residual for Mrs. Jones? O $1187.30 O $2252.70 O $2812.70 O Cannot be determined from the information given. 16. Which of the following statements about least-squares regression involving two quantitative variables, x and y, is/are TRUE? O A change of one standard deviation in x corresponds to a change of r standard deviations in y. O The least-squares regression line always passes through the point ( ). O The square of the correlation, , is the fraction of the variation in the values of y that is explained by the least-squares regression of y on x. O The least-squares regression line of y on x is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible.
14. John's parents recorded his height at various ages between 36 and 66 months. Below is a record of the results: 60 66 43 45 Age (months) Height (inches) 36 34 48 54 38 41 Which of the following is the equation of the least-squares regression line of John's height on age? (Note: You do not need to directly calculate the least-squares regression line to answer this qu O Height = 12 x (Age) O Height = Age/12 O Height = 60 - 0.22 x (Age) O Height = 22.3 + 0.34 x (Age) 15. A researcher at a large company has collected data on the beginning salary and current salary of 48 randomly selected employees. The least-squares regression equation for predicting their curre beginning salary is = -2532.7 + 2.12x. Mrs. Kathy Jones started working for the company earning $19,000. She currently earns $40,000. What is the residual for Mrs. Jones? O $1187.30 O $2252.70 O $2812.70 O Cannot be determined from the information given. 16. Which of the following statements about least-squares regression involving two quantitative variables, x and y, is/are TRUE? O A change of one standard deviation in x corresponds to a change of r standard deviations in y. O The least-squares regression line always passes through the point ( ). O The square of the correlation, , is the fraction of the variation in the values of y that is explained by the least-squares regression of y on x. O The least-squares regression line of y on x is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter2: Matrices
Section2.CR: Review Exercises
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