Step $3$: Simple Linear Regression: Predicting the Total Number of Wins using Average Relative Skill The coach of your team suggests a simple linear regression model with the total number of wins as the response variable and the average relative skill as the predictor variable. He expects a team to have more wins in a season if it maintains a high average relative skill during that season. This regression model will help your coach predict how many games your team might win in a regular season. Create this simple linear regression model. Make the following edits to the code block below: $1.$ Replace $??$RESPONSE$\_$VARIABLE?? with the variable name that is being predicted. See the table included in the Project Three instructions above to pick the variable name. Do not enclose this variable in quotes. For example, if the variable name is var$1$ then replace $??$RESPONSE$\_$VARIABLE?? with var$1.2.$ Replace $??$PREDICTOR$\_$VARIABLE?? with the variable name that is the predictor. See the table included in Project Three instructions above to pick the variable name. Do not enclose this variable in quotes. For example, if the variable name is var$2$ then replace $??$PREDICTOR$\_$VARIABLE?? with var$2.$ For example, if the variable names are var$1$ for the response variable and var$2$ for the predictor variable, then the expression in the code block below should be: model $=$ smf$.$ols$(\text{'}$var$1$ var$2\text{'},$ nba$\_$wins$\_$df$).$fit$)$ After you are done with your edits, click the block of code below and hit the Run button above.