10. A regression analysis involves 8 professional golf players by relating a dependent variable (Earnings ($1000)) and several independent variables. Earnings ($1000) are the total earnings in thousands of dollars. Scoring Avg. is the average score of all events. Putting Avg. is the average number of putts taken on greens hit in regulation. b) Can any of the observations be classified as an outlier? Use a = .05. Please use all criteria from part (a). Sand Saves is the percentage of time a player is able to get "up and down" once in a greenside sand bunker. Greens in Reg is the percentage of time a player is able to hit the green in regulation. The following results are part of the Regression Analysis for Earnings, Scoring Avg., Greens in Reg., Putting Avg. and Sand Saves from Minitab. Below is a table with statistics necessary for analyzing the residuals. Table 1: Statistics Necessary for Performing a Residual Analysis Standardized Studentized Leverage Cook's residual deleted residual value Distance 0.09176 0.08887 0.353075 0.0011488 1.1437206 1.1556506 0.2076484 0.0857019 0.488835 0.476887 0.132997 0.009164 c) Among the four statistics listed in Table 1, which can be used to detect influential observations? List all that apply. 0.882775 -0.876351 0.5218152 0.0619345 0.132161 -0.128035 0.1246959 0.0006221 -0.094143 -0.091179 0.1124736 0.0002808 d) Can any of the observations be classified as an influential observation? Please use all -1.871716 -2.050635 0.1712912 0.181031 criteria from part (c). 0.9883058 0.9875407 0.2628441 0.0870686 a) Among the four statistics listed in the Table 1, which can be used to detect outliers? List all that apply