Assignment-Quiz 4 (regression)

Assignment-Quiz 4 - Below is the regression output The dependent variable is total yards Take some time to become reacquainted with the output

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Homework 4 Is anybody a sports fan? I downloaded some stats on Felix “The Cat” Jones’s first two years in the NFL from yahoo sports. The link is below. http://sports.yahoo.com/nfl/players/8799/gamelog;_ylt=As8btAK.ceuaIwb.BOKPkGf.uLYF? year=2008 For each game that Felix played his total yards, number of carries, yards per carry, his longest run, and whether or not he scored a touchdown (1=yes) are recorded. Here is a correlation matrix for the variables. In this class, a correlation of at least 0.9 will be our definition of correlated variables. Game Total Yards Attempt s Y /A Longest Run T D Game 1 Total Yards 0.09601 5 1
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Attempt s 0.07660 3 0.60588 3 1 Y/A 0.09701 2 0.83434 5 0.10465 9 1 Longest Run 0.06704 2 0.82588 5 0.26992 8 0.86743 1 1 TD 0.31008 7 0.69309 2 0.23936 4 0.67812 7 0.81092 8 1 Next, I ran a multiple linear regression.
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Unformatted text preview: Below is the regression output. The dependent variable is total yards. Take some time to become reacquainted with the output results and then answer the following questions. Explain R 2 in this output. What is the value and what does it mean? What variables are the highest correlated? Given the correlation of TD and the Longest Run, do you think the coefficients are valid? Explain. What is the p-value for the F test? What does this tell you? Are all the coefficients significant? Which is the most significant coefficient based on p-value? Why would you use the adjusted R2? If you reject that the ‘longest run’ variable is significant, what does that mean?...
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This note was uploaded on 04/11/2011 for the course WCOB 2023 taught by Professor Billthompson during the Spring '07 term at Arkansas.

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Assignment-Quiz 4 - Below is the regression output The dependent variable is total yards Take some time to become reacquainted with the output

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