I need help on Part E. Done everything else though. Statistics sigh..///\\\
Here is an explanation of the variable abbreviations.
• MLB – Major League Baseball
• NL – National League
• AL – American League
• W – Wins
• HR – Home Runs
• OBP – On Base Percentage – the proportion of times a team’s players reach base safely in a plate appearance.
• ERA – Earned Run Average – the mean number of runs allowed per 9 innings for the team’s pitchers.
• SO – Strike Outs
@ganeshie8

Question

I need help on Part E. Done everything else though. Statistics sigh..///\\\
Here is an explanation of the variable abbreviations. 
•	MLB – Major League Baseball
•	NL – National League
•	AL – American League
•	W – Wins 
•	HR – Home Runs
•	OBP – On Base Percentage – the proportion of times a team’s players reach base safely in a plate appearance.
•	ERA – Earned Run Average – the mean number of runs allowed per 9 innings for the team’s pitchers.  
•	SO – Strike Outs
@ganeshie8

yanasidlinskiy · Answer

Based on your results from part A.  Which variable is most highly correlated with a team’s wins during a season and why?

yanasidlinskiy · Answer

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hartnn · Answer

@mathmale can you try to help her?

reemii · Answer

From the two equations (W = 60.... +0.13HR, W =  -144... +710...OBP), I would say OBP is more highly correlated. Because the line has a slope "seriously" different from zero. So "high OBP" imlpies "high W".
From the correlation coefficients, you can see that OBP has a higher "R" index.
From the R-sq, you can see that OBP's value (0.7....) is far greater than HR's value (0.2...)
These three things are arguments for choosing OBP as the variable that explains best the Win.