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Hello viewers, our today's question is from the topic of describing the relations between two variables.
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We are given the following data set.
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Here, we have been introduced that the ultimate goal in any sport is to win.
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One measure of how well a team does is the winning percentage.
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Now, the following data represents the winning percentages of teams in the national league, along with potential explanatory variables based on the 2010 season.
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We have to describe that which variable do we think is the best predictors? of winning percentage and why? determining the required values from a given data set and applying the following formula for determining the coefficient of correlation we get, substituting the required values in our formula, we get r equal to 27 .506 divided by root of 0 .06 into 29, which gives us the coefficient of correlation equal to 0 .652 between the winning percentage and runs.
01:25
Determining the required values and substituting them in the formula for determining the coefficient of correlation, we get r equal to 2 .188 divided by root of 0 .06 multiplied by 480.
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814 .917.
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This gives us the coefficient of correlation equal to 0 .129.
02:01
Similarly, determining the correlation coefficient by substituting the values between the winning percentage and team batting average, we get r equal to 0 .003 divided by root of 0 .06...