i PROTECTED VIEW Be careful-files from the Internet can contain viru B19 X Y 55 A B C 1 Hours Spent Studying Total Points Earned 2 22 12 3 20 18 4 29 25 5 24 25 6 43 28 7 46 29 8 39 35 9 40 39 10 51 40 11 43 43 12 39 43 13 51 49 14 52 50 15 65 51 16 57 53 17 56 53 18 52 55 19 66 55 20 63 57 21 68 57 22 67 59 23 42 59 24 65 59 25 69 60 26 72 60 27 66 61 28 53 61 29 45 61 30 58 62\fA B C D 61 84 70 62 83 70 63 67 70 64 80 71 65 78 71 66 72 72 67 70 72 68 94 72 69 92 72 70 84 73 71 98 73 72 78 73 73 78 73 74 84 73 75 74 74 76 90 74 77 83 74 78 84 74 79 83 75 80 78 75 81 93 75 82 80 75 83 101 76 84 81 76 85 83 76 86 91 76 87 83 76 88 93 76 89 78 76 90 78 7791 65 77 92 84 77 93 97 77 94 88 77 95 93 78 96 93 78 97 95 78 98 95 79 99 91 79 100 95 79 101 94 79 102 95 80 103 102 80 104 105 80 105 83 80 106 99 80 107 97 81 108 79 81 109 101 81 110 88 82 111 93 83 112 95 85 113 94 85 114 104 85 115 88 85 116 80 86 117 98 86 118 83 86 119 91 86 120 90 87A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the file MktHrsPts. Click on the datafile logo to reference the data. DATA file (a) Choose a scatter chart below with Hours Spent Studying as the independent variable.- Select your answer - v What does the scatter chart indicate about the relationship between hours spent studying and total points earned? The scatter chart indicates there may be a - Select your answer - V linear relationship between hours spent studying and total points earned. Students who spend more time studying generally earn more points, and this scatter chart is consistent with what is expected. (b) Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model? Let x represent the hours spent studying. If required, round your answers to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: 300} 9 - . x (c) Test whether each of the regression parameters r} and .81 is equal to zero at a 0.01 level of signicance. What are the correct interpretations of the estimated regression parameters? Are these interpretations reasonable? The input in the box below will not be graded, but may be reviewed and considered by your instructor. /, (d) How much of the variation in the sample values of total point earned does the model you estimated in part (b) explain? If required, round your answer to two decimal places. D/O (e) Mark Sweeney spent 90 hours studying. Use the regression model you estimated in part (b) to predict the total points Mark earned. If required, round your answer to the nearest whole number. Do not round intermediate calculations. $ Check My Work (5 remaining)