13. We've seen how residuals are used to assess the fit of a regression line to the data, but they have another important role. How are residuals used in the definition of the least-squares regression? (2 points)3.2.6 AP Statistics Page 1 of 8 Assignment: Linear Regression Lines Use the data set below to answer questions 1 through 13. You are expected to round your answers to thousandths. The data included with this assignment are hitting statistics for the top 25 home run hitters from both the National and American Leagues in Major League Baseball. The statistics included are the number of base hits, the number of runs, and the number of home runs each player had in the 1999 season as of 8/17/99. (Source: www.majorleaguebaseball.com) (In case you're rusty on your baseball terms, here are a few definitions: A base hit is a hit that gets the batter on a base. A run is any time a runner reaches home plate and scores, and a home run is hitting the ball and reaching home plate in the same play.) Base Hits Runs Home Runs 130 63 25 136 94 36 122 78 25 123 91 35 108 77 24 141 95 33 115 65 24 89 32 114 24 130 66 106 88 32 128 79 24 87 63 31 116 73 23 70 31 117 23 140 63 70 29 86 57 22 101 123 74 28 144 85 109 71 132 62 93 74 122 80 143 74 133 86 130 66 101 58 104 50 102 73 135 77 157 74 87 50 101 50 160 99 134 91 109 86 131 108 136 86 133 91 149 78 123 96 89 71 136 74 132 62 137 77 27 125 70 27 103 68 26 118 83 26 89 60 26 128 57 26 Data is continued in the next column. Copyright @ 2021 Apex Learning. See Terms of Use for further information. Images of the TI-84 calculator are used with the permission of Texas Instruments Incorporated. Copyright @ 2011 Texas Instruments Incorporated.How would you characterize the relationship between hits and runs: linear and strong; linear and moderate; linear and weak; nonlinear and strong; nonlinear and moderate; or nonlinear and weak? (Note: nonlinear and strong means that the data points form a definite curved pattern.) (2 points)