c) Describe the relationship between these sprint times and throwing distances. (2 marks, C) d) State which data points could be identified as outliers, and explain why you chose them. (2 marks, C) MDM4U, Assignment: Scatter Plots and Linear Correlation Page4 e) Remove the outliers and repeat the regression analysis. Determine the line of best fit and the correlation coefficient for this smaller sample. (2 marks, A) f) What might the coach conclude from this analysis? What limits the predictions he could make? (2 marks, C) g) Use the two regression equations from parts b) and e) to estimate the throwing distance for a player whose sprint time is 6.50 s. (2 marks, A)3. The coach of the Statsville football team wants to determine if there is a relationship between how fast players can run 60 m and how far they can throw the football. The results for the Statsville players were as follows. (Use Excel ) Player Sprint Time (s) Throwing Distance (m) Jon H. 7.92 32 Tom M. 8.66 29 Sarjay P. 6.58 35 Brandon F. 8.90 32 Tyler C. 7.12 34 Steve K. 8.76 29 Matt H. 7.55 40 Robin L. 7.37 33 Alex H. 7.96 30 Mike N. 8.45 31 Ankit K. 7.75 26 Scott R. 8.05 32 a) Using technology, create a scatter plot of sprint times versus throwing distances. (2 marks, C) b) Perform a linear-regression analysis of the data to find the line of best fit and the correlation coefficient. (2 marks, A)