Predict the number of wins for a team with regression formula derived from the attached picture, and the following data:

field goal % = 46.2%

Turnover per game = 14.4

rebounds per game = 43.7

need answers for both the questions

The lational Basketball Association (NBA) would like to develop a multiple regression model that woul I predict the number of wins (dependent variable) for a team during the season. The following independent variables were considered for the model: field goal percentage (FG%), three-point percentage (3PT%), free throw percentage (FT%), turnovers per game (TO), rebounds per game (REB), assists per game (ASSISTS), and steals per game (STEALS). The following table shows the final results of a eneral stepwise regression procedure. *. Squared : - 845 REB entered. SS MS F Significance F Regression 3705.17 24.17 0.00000011 Residual 1328.83 Total Bb w 1235.06 51.11 5034.00 Coefficients Standard Error Stot -value Lower 9596 Upper 9526 In ercept -276.8949 61.0648 -4.5344 C.000115 402.4154 -151.3745 6.0284 0.9938 6.0560 0.000002 3.9856 8.0712 TO 6.8230 1.4815 -4.6054 C.000095 9.8683 -3.7777 3.3484 0.8870 3.7748 0.000839 1.5251 5.1717 No other variables could be entered into the model. Stepwise ends. 1. BASED on the Regression OUTPUT Above, what is the Linear regression equation? 2 . WHAT does the coefficient OF REB ( Rebounds per game ) mean ? 3. What does the Rsquared mean . 4. IS The model a significant predictor of wins ? How do you know? Predict the number of wins for a team with the regression formula derived from above and the following datas Show WORK Field goal percentage = 46.2% Turnovers per game = 14.4 Rebounds per game = 43.7