← A baseball analytics specialist wants to determine which variables are important in predicting a team's wins in a given season. He has collected data related to wins, earned run average (ERA), and runs scored per game for a recent season. Develop a model to predict the number of wins based on ERA and runs scored per game. Use the data for 29 teams in the accompanying table to complete parts (a) through (m). Click the icon to view the data. annne a. State the multiple regression equation. Let X, be the ERA and let X₂ be the number of runs scored per game. -+(x₁+x₂1 (Round to one decimal place as needed.) b. Interpret the meaning of the slopes in this equation. The value of b₁, the slope for X₁. indicates that, for a given increase in the predicted mean by a value equal to the absolute value of b₁. The value of b₂, the slope for X2,. indicates that, for a given increase in the predicted mean for each 1-unit is estimated to for each 1-unit is estimated to by a value equal to the absolute value of b₂. c. Predict the mean number of wins for a team that has an ERA of 3.50 and has scored 4.5 runs per game.