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Student Workers 6 points > A random sample of 14 current VCU students was selected, and the number of hours they work at a paying

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Student Workers 6 points > A random sample of 14 current VCU students was selected, and the number of hours they work at a paying job and the number of The regression line that gives the linear relationship between the hours of academic work the student does each week was recorded. number 0f hours working at a paying lb" and the number 0f hours Of The data appear in the scatterplot below academic work the student does is predicted number of hours of academic work the student does = 32.36 - 0.587(number of hours working at a paying job). Use this regression line to predict the number of hours of academic work for a student who works 14 hours at a A payingjob. Please round your answer to 2 decimal places. B BIUA--v_7; 12pt ' Paragraph v Ev A: Mi W Number of Hours of Academic Work the Student D025 0 m 3 m D 5 10 15 20 25 30 35 M7 45 Number of Hours Working at a Paying Job Formulas S xy Correlation coefcient: r = sxxsyy Student Workers A random sample of 14 current VCU students was selected, and 6min\" Q the number of hours they work at a paying job and the number of hours of academic work the student does each week was recorded. The data appear in the scatterplot below. The regression line that gives the linear relationship between the number of hours working at a paying job and the number of hours of academic work the student does is predicted number of hours of f 4 . academic work the student does = 32.36 0.587(number of hours g 35 ' working at a paying job). On the scatterplot to the left four lines 5 a 3\" . . A have been drawn. Which line, A, B, C or D, is the correct gig 25 . . regression line? 3 g 20 E i 15 o B O C E,\" 1\" o O A E a : D C O B D 5 10 15 20 25 30 35 40 45 Number of Hours Working at a Paying Job 0 D Formulas 1 (2'02 Sxx = 2x ' n 2 (2302 SW: 2y 'T (ZXXZY) Sxy = ny n S W Correlation coefcient: r = Jsxxsy, s xv Student Workers 6 6 points A random sample of 14 current VCU students was selected, and the number of hours they work at a paying job and the number of Consider the scatterplot. What value do you guess the hours of academic work the student does each week was recorded. correlation coefficient r is equal to (no calculations are The data appear in the scatterplot below. necessary). 40 35 BIUAA v = X z 30 A 12pt 25 Paragraph fx Number of Hours of Academic Work the Student Does 20 15 B 10 D C 5 10 15 20 25 30 35 40 45 Number of Hours Working at a Paying Job Formulas Sxy = [x' _[x) n Syy = Ey_ (Ex) n Sxy = [xy _ ([x X[y) n S xy Correlation coefficient: r = VS xxSyyStudent Workers 6 points A random sample of 14 current VCU students was selected, and , . . the number of hours they work at a paying job and the number of One of the students In the sample worked 10 hours at a paying Job hours of academic work the student does each week was recorded. and spent 6 hours per week doing academic work. You ShOUId be The data appear in the scatterplot below. able to Identify the observation for this student on the scatterplot. This observation represents which of the following? 40 E 35 .. O Outlier E g Z. . o A O Lurkingvariable E E 1 . . 0 Residual g g 15 . B O Inuential observation 0 - g :0 . O Extrapolation z o D C c 5 10 15 20 25 30 35 4O 45 Number of Hours Working at a Paving Job Formulas Student Workers 8 12 points A random sample of 14 current VCU students was selected, and the number of hours they work at a paying job and the number of Consider the scatterplot to the left. Use this scatterplot to describe hours of academic work the student does each week was recorded. completely the relationship between number of hours working at a The data appear in the scatterplot below. paying job and the number of hours of academic work the student does. 40 35 30 A B I U A Y A TX x2 X2 E 25 Number of Hours of Academic Work 12pt Paragraph fx the Student Does B 10 UT D C o 5 10 15 20 25 30 35 40 45 Number of Hours Working at a Paying Job Formulas Sxy = [x' _ [x) n Syy= Ly' _[y) n Sxy = [xy _ [x X[y) n S xy Correlation coefficient: r = VSxxSyyStudent Workers A random sample of 14 current VCU students was selected, and the number of hours they work at a paying job and the number of hours of academic work the student does each week was recorded. The data appear in the scatterplot below. 40 35 so 0 . 25 20 the Student Does 15 C 10 Number of Hours of Academic Work D 0 S 10 15 20 25 30 35 40 Number of Hours Working at a Paying Job Formulas 2 (XXV sXX = >3\" 'T SW: 2y2_(2ny)2 (EXXZ ) Sxy = ny_ n y Sxy Correlation coefcient: r = JSxxSyy 45 6 points The regression line that gives the linear relationship between the number of hours working at a paying job and the number of hours of academic work the student does is predicted number of hours of academic work the student does = 32.36 0.587(number of hours working at a paying job). Which of the following is the correct interpretation of the gag of this regression line? 0 lfthe number of hours working at a paying job increases by 1 hour, then the predicted number of hours of academic work the student does increases by 32.36 hours. 0 lfthe number of hours working at a paying job increases by 1 hour, then the predicted number of hours of academic work the student does decreases by 0.587 hours. 0 lfthe number of hours of academic work the student does increases by 1 hour, then the predicted number of hours working at a paying job decreases by 0.587 hours. 0 lfthe number of hours of academic work the student does increases by 1 hour, then the predicted number of hours working at a paying job increases by 32.36 hours. 0 If the number of hours working at a paying job is 32.36 hours, then the predicted number of hours of academic work the student does is -0.587 hours. 0 lfthe number of hours working at a paying job increases by 32.36 hours, then the predicted number of hours of academic work the student does decreases by 0.587 hours. Student Workers 6points A random sample of 14 current VCU students was selected, and _ _ _ . _ . the number of hours they work at a paying job and the number of The regressmn line that gives the linear relatlonshlp between the hours of academic work the student does each week was recorded. number ofhours working at a Paying jb and the number 0f hours The data appear in the scatterplot below. of academic work the student does IS predicted number of hours of academic work the student does = 32.36 - 0.587(number of hours 4 l . working at a paying job). Which of the following is the correct w m i interpretation of the intercem of this regression line? m o '5' E E m . . E \"a: 25 l ' A Q If the number of hours working at a paying job is 0 hours, then the i; g m l ' a predicted number of hours of academic work the student does is 0.587 g 3 ' hours. a? 2 15 o B :2 \" m ' . Q If the number of hours of academic work the student does is 0 hours, then g 5 l the predicted number of hours working at a paying job is 32.36 hours. 2 0 ' D C Q If the number of hours of academic work the student does is 0 hours, then 0 5 10 15 20 25 30 35 40 45 Number of Hours Working in 3 Paving M the predicted number of hours working at a paying job is -0.587 hours. 0 If the number of hours working at a paying job increases by 32.36 hours, FormUIaS then the predicted number of hours of academic work the student does 2 decreases by 0.587 hours. (2x) Sxx = 2'2 ' n Q If the number of hours working at a paying job is 0 hours, then the (2y); predicted number of hours of academic work the student does is 32.36 SW: 2Y2 n hours. _ ny_ (ZXXZY) 0 If the number of hours working at a paying job is 32.36 hours, then the Sxy _ \" predicted number of hours of academic work the student does is -0.587 5x, hours. Correlation coefcient: r = JSuSyy

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