I need part d only. Thank you.

1. The data set below gives the height and the performance of 20 men's track and field champions. Height Perf. Height Perf. 1.73 2.32 1.85 2.36 1.73 2.31 1.91 2.41 1.83 2.40 1.87 2.36 1.84 2.40 1.96 2.45 1.84 2.40 1.88 2.36 1.78 2.33 1.94 2.39 1.84 2.37 1.85 2.28 1.85 2.37 2.00 2.42 1.85 2.37 1.94 2.35 1.86 2.37 2.01 2.40 You are given the following summary statistics: Height: mean: 1.868 meters / standard deviation: 0.0739 meter Performance: mean 2.371 meters / standard deviation: 0.0394 meter Covariance of height and performance: 0.001872 meter2 a) [10 points] Write the linear regression model for this data set. b) (10 points] Plot the data c) (10 points] Predict the performance of an athlete whose height is 1.90 meters. (use linear regression assumption) d) (10 points] Calculate the Sum of SquaredError(SSE) SSE = 5 Sum (Actual Value Predicted Value)