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Variable Mean Standard Deviation Drive Accuracy 63.3973 5.28 Drive Distance 289.6027 8.28 Greens in Regulation 65.1113 2.648 The correlation coefficient for Drive Accuracy and Drive Distance is r = -0.5536. The correlation coefficient for Drive Accuracy and Greens in Regulation is r = 0.4017. 1. Use the summary statistics to find the equation of the regression line for predicting Drive Accuracy from Greens in Regulation. Remember to use all decimal places for intermediate calculations. Round final answers to 4 decimal places. ŷ = + X. 2. Calculate the R? value for the regression of Drive Accuracy from Greens in Regulation and complete the sentence below to interpret the R2 value. % of the variation in Drive Accuracy v can be explained by the linear relationship with

Variable Mean Standard Deviation Drive Accuracy 63.3973 5.28 Drive Distance 289.6027 8.28 Greens in Regulation 65.1113 2.648 The correlation coefficient for Drive Accuracy and Drive Distance is r = -0.5536. The correlation coefficient for Drive Accuracy and Greens in Regulation is r = 0.4017. 1. Use the summary statistics to find the equation of the regression line for predicting Drive Accuracy from Greens in Regulation. Remember to use all decimal places for intermediate calculations. Round final answers to 4 decimal places. ŷ = + X. 2. Calculate the R? value for the regression of Drive Accuracy from Greens in Regulation and complete the sentence below to interpret the R2 value. % of the variation in Drive Accuracy v can be explained by the linear relationship with

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Variable Mean Standard Deviation Drive Accuracy 63.3973 5.28 Drive Distance 289.6027 8.28 Greens in Regulation 65.1113 2.648 The correlation coefficient for Drive Accuracy and Drive Distance is r = -0.5536. The correlation coefficient for Drive Accuracy and Greens in Regulation is r= 0.4017. 1. Use the summary statistics to find the equation of the regression line for predicting Drive Accuracy from Greens in Regulation. Remember to use all decimal places for intermediate calculations. Round final answers to 4 decimal places. ŷ = + х. 2. Calculate the R- value for the regression of Drive Accuracy from Greens in Regulation and complete the sentence below to interpret the R value. % of the variation in Drive Accuracy v can be explained by the linear relationship with Greens in Regulation
Transcribed Image Text:Variable Mean Standard Deviation Drive Accuracy 63.3973 5.28 Drive Distance 289.6027 8.28 Greens in Regulation 65.1113 2.648 The correlation coefficient for Drive Accuracy and Drive Distance is r = -0.5536. The correlation coefficient for Drive Accuracy and Greens in Regulation is r= 0.4017. 1. Use the summary statistics to find the equation of the regression line for predicting Drive Accuracy from Greens in Regulation. Remember to use all decimal places for intermediate calculations. Round final answers to 4 decimal places. ŷ = + х. 2. Calculate the R- value for the regression of Drive Accuracy from Greens in Regulation and complete the sentence below to interpret the R value. % of the variation in Drive Accuracy v can be explained by the linear relationship with Greens in Regulation
Hole in One ~ Shelyce is very interested in professional golf statistics. She obtains data from 2008 for the highest earning professional golfers that year. The data set contains the variables: 1) Drive Accuracy (in percentage): the percentage of time a tee shot comes to rest in the fairway. 2) Drive Distance (in yards): the average distance a golfer hits the golf ball using the driver. 3) Greens in Regulation (in percentage): the percentage of time a ball is on the putting surface after a Greens in Regulation stroke. Shelyce wants to use linear regression to predict a pro golfer's Drive Accuracy. The scatter plots and summary statistics below summarize the data for 150 professional golfers in 2008. Accuracy by Distance Accuracy by Greens in Regulation 270 280 290 300 310 320 60 65 70 Average drive distance in yards Greens in Regulation (%) Drive accuracy (%) 55 65 75 os 09 Drive accuracy (%) 55 65 09
Transcribed Image Text:Hole in One ~ Shelyce is very interested in professional golf statistics. She obtains data from 2008 for the highest earning professional golfers that year. The data set contains the variables: 1) Drive Accuracy (in percentage): the percentage of time a tee shot comes to rest in the fairway. 2) Drive Distance (in yards): the average distance a golfer hits the golf ball using the driver. 3) Greens in Regulation (in percentage): the percentage of time a ball is on the putting surface after a Greens in Regulation stroke. Shelyce wants to use linear regression to predict a pro golfer's Drive Accuracy. The scatter plots and summary statistics below summarize the data for 150 professional golfers in 2008. Accuracy by Distance Accuracy by Greens in Regulation 270 280 290 300 310 320 60 65 70 Average drive distance in yards Greens in Regulation (%) Drive accuracy (%) 55 65 75 os 09 Drive accuracy (%) 55 65 09
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