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$2$

: Scatterplot and Correlation for the Total Number of Wins and Average Relative Skill

Your coach expects teams to win more games in a regular season if they have a higher average relative skill compared to their opponents. This is because the chances of winning are higher if a team can maintain high average relative skill. Therefore, it is expected that the total number of wins and the average relative skill are correlated. Calculate the Pearson correlation coefficient and its P

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value. Make the following edits to the code block below:

Replace

$?$

$?$

DATAFRAME

$\_$

NAME?? with the name of the dataframe used in this project. See Step

$1$

$$for the name of dataframe used in this project.

Replace

$?$

$?$

RELATIVE

$\_$

SKILL?? with the name of the variable for average relative skill. See the table included in the Project Three instructions above to pick the variable name. Enclose this variable in single quotes. For example, if the variable name is var

$1$

$$then replace

$?$

$?$

RELATIVE

$\_$

SKILL?? with 'var

$1$

$\text{'}$

$.$

Replace

$?$

$?$

WINS?? with the name of the variable for the total number of wins in a regular season. Remember to enclose the variable in single quotes. See the table included in the Project Three instructions above to pick the variable name. Enclose this variable in single quotes. For example, if the variable name is var$2$then replace $??$WINS?? with 'var$2\text{'}$