help with 0.14 a, b and c please

0.13 Predicting NFL wins: Packers/Giants. Consider again, the model for predicting the number of games that a National Football League (NFL) team wins in a season: Wins = 3.6 + 0.5PF - 0.3PA + E where PF stands for average points a team scores per game over an entire season and PA stands for points allowed per game. Each team plays 16 games in a season. a. The Green Bay Packers had a good regular season record in 2016, winning 10 games and losing 6. They averaged 27.0 points scored per game, while allowing an average of 24.25 points per game against them. How many wins does this model predict the Green Bay Packers had in 2016? b. Find the residual for the Green Bay Packers in 2016 using this model. c. The largest positive residual value from this model for the 2016 season belongs to the New York Giants, with a residual value of 3.04 games. The Giants actually won 1 1 games. Determine this model's predicted number of wins for the Giants. 0.14 Predicting NFL wins: Patriots/Chargers. Refer to the model in Exercise 0.13 for predicting the number of games won in a 16-game NFL season based on the average number of points scored per game (PF) and average number of points allowed per game (PA). a. Use the model to predict the number of wins for the 2016 New England Patriots, who scored 441 points and allowed 250 points in their 16 games. b. The Patriots actually won 14 games in 2016. Determine their residual from this model, and interpret what this means. c. The largest negative residual value from this model for the 2016 season belongs to the San Diego Chargers, with a residual value of -3.48 games. Interpret what this residual means