ࡱ> '` bjbj"9"9 8&@S@S    ,   :    $ha    :    rR Tޠ 1 n0 G R            AP Statistics Chapter 3: Linear Regression Multiple Choice Question Practice The correlation between two variables X and Y is 0.26. A new set of scores, X* and Y*, is constructed by letting X* = 2X and Y* = Y +12. The correlation between X* and Y* is 0.26 0.26 0 0.52 0.52 Given a set of ordered pairs (x, y) so that sx = 0.75, sy = 1.6, r = 0.55. What is the slope of the least-square regression line for these data? 1.82 1.17 2.18 0.26 0.78 INCLUDEPICTURE \d \z "http://01.edu-cdn.com/files/static/mcgrawhillprof/9780071621885/TWO_VARIABLE_DATA_ANALYSIS_PRACTICE_PROBLEMS_01.GIF" The regression line for the two-variable dataset given above is y PRIVATEPRIVATE "TYPE=PICT;ALT="= 2.35 + 0.86x. What is the value of the residual for the point whose x-value is 29? 1.71 1.71 2.29 5.15 2.29 Suppose the LSRL for predicting Weight (in pounds) from Height (in inches) is given by Weight = 115 + 3.6 (Height). Which of the following statements is correct? A person who is 61 inches tall will weigh 104.6 pounds. For each additional inch of Height, Weight will increase on average by 3.6 pounds. There is a strong positive linear relationship between Height and Weight. I only II only III only II and III only I and II only A study was done on the relationship between high school grade point average (GPA) and scores on the SAT. The following 8 scores were from a random sample of students taking the exam: PRIVATE "TYPE=PICT;ALT="INCLUDEPICTURE \d \z "http://04.edu-cdn.com/files/static/mcgrawhillprof/9780071621885/TWO_VARIABLE_DATA_ANALYSIS_PRACTICE_PROBLEMS_04.GIF" What percent of the variation in SAT scores is explained by the regression of SAT score on GPA? 62.1% 72.3% 88.8% 94.2% 78.8% Solutions The correct answer is (a). Changing the units of x and/or y has no effect on the value of the correlation. So the original value of 0.26 is also the correlation between X* and Y*. The correct answer is (b).  EMBED Equation.DSMT4  The correct answer is (e). The value of a residual = actual value predicted value = 25 [2.35 + 0.86(29)] = 2.29. The correct answer is (b). I is incorrectthe predicted weight of a person 61 inches tall is 104.6 pounds. II is a correct interpretation of the slope of the regression line (you could also say that "For each additional inch of Height, Weight is predicted to increase by 3.6 pounds). III is incorrect. It may well be true, but we have no way of knowing that from the information given. The correct answer is (e). The question is asking for the coefficient of determination, r2 (R-sq on many computer printouts). In this case, r = 0.8877 and r2 = 0.7881, or 78.8%. 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