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ODoHomeworkSteven Smith . Google arome Secure https://www.mathxl.com/Student/PlayerHomework.aspx?homeworkld 456318249&questionld-2; MAT-240-R2428-17EW2 Homework: 6-2 MyStatLab: Module Six Save Problem Set Score: 0 of 5 pts 4.2.15 9 of 14 (4 complete) Hw Score: 17.09%, 11.11 of Question Help * An author of a book discusses how statistics can be used to judge both a baseball player's potential and a team's ability to win games. One aspect of this analysis is that a teams on-base percentage is the best predictor of winning percentage. The on-base percentage is the proportion of time a player reaches a base. For example, an on-base percentage of 0.3 would mean the player safely reaches bases 3 times out of 10, on average. For a certain baseball season, winning percentage, y, and on-base percentage, x, are linearly related by the least-squares regression equation y = 2.96x-0.4871 . Complete parts (a) through (d). (a) Interpret the slope. Choose the correct answer below A. For each percentage point increase in winning percentage, the on-base percentage will decrease by 2.96 0 B. For each percentage point increase in on-base percentage, the winning percentage will increase by 2.96 ° C. For each percentage point increase in on-base percentage, the winning percentage will decrease by 2.96 0 D. For each percentage point increase in winning percentage, the on-base percentage will increase by 2 96 percentage points, on average. percentage points, on average percentage points, on average. percentage points, on average Click to select your answer and then click Check Answer Clear All Check Answer remainingExplanation / Answer
a) Interpretation of slope: The slope coefficient is 2.96. Hence,
For each percentage increase in on - base percentage, the winning percentage is expected to increase by 2.96 percentage points, on average.
Option B is correct.
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