Here's the dataset:GolferDistanceAccuracyIndexWoods316.154.63.58Perry304.763.43.48Gutschewski310.557.93.27Wetterich311.756.63.18Hearn295.268.52.82Gronberg301.463.22.74Frazar30163.52.74Warren299.264.22.55Glover302.260.72.27MacKenzie300.262.12.22Love III305.457.92.21Garcia303.559.42.21Durant289.270.92.2O'Hair300.161.42.02Singh301.160.21.92Long298.362.41.9Smith300.860.21.85Hend318.945.41.89Hughes291.367.51.76Stadler300.160.41.76Allenby297.762.31.75Mayfair288.269.81.71Appleby300.659.31.58Snyder III291.866.31.56Purdy295.263.41.52Brigman295.563.11.5Bryant283.2731.49Rollins294.463.71.43Jobe302.357.31.42Brehaut286.669.91.4Ogilvy29860.71.4Henry297.6611.4Rose294.163.71.37Westwood296.861.51.36Johnson29066.91.34Senden291661.31Mickelson30058.71.3Watney298.959.41.26Trahan295.861.81.23Pappas309.450.61.17 A random sample of 40 PGA golfers was taken. The dataset is in the file PGAdriver.xls. Aresearcher is trying to predict (driving) accuracy using (driving) distance.1. Plot Accuracy vs. Distance and describe.2. Find least squares regression line and interpret slope in the words of the problem.3. Find the coefficient of determination (R?) and interpret.4. Find the correlation coefficient (R) and interpret.5. Find and interpret a 95% Confidence Interval for the true slope.6. Find the predicted values for Perry, Stadler and Trahan.7. Find the residuals values for Perry, Stadler and Trahan8. Graph the standardized residuals vs. predicted values (x-axis). Describe and comment.9. Graph the predicted values vs. the actual accuracy values (x-axis). Describe andcomment.10. Make a normal probability plot of the standardized residuals. Describe and comment.Submit the answers to the questions in a Word or pdf report file.Round answers to the thousandths place where applicable.All graphs and answers must be in the report file!

Name: Here's the dataset:GolferDistanceAccuracyIndexWoods316.154.63.58Perry3
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Description: Here's the dataset:GolferDistanceAccuracyIndexWoods316.154.63.58Perry304.763.43.48Gutschewski310.557.93.27Wetterich311.756.63.18Hearn295.268.52.82Gronberg301.463.22.74Frazar30163.52.74Warren299.264.22.55Glover302.260.72.27MacKenzie300.262.12.22Love I

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Answered: A random sample of 40 PGA golfers was…

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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Here's the dataset:

Golfer	Distance	Accuracy	Index
Woods	316.1	54.6	3.58
Perry	304.7	63.4	3.48
Gutschewski	310.5	57.9	3.27
Wetterich	311.7	56.6	3.18
Hearn	295.2	68.5	2.82
Gronberg	301.4	63.2	2.74
Frazar	301	63.5	2.74
Warren	299.2	64.2	2.55
Glover	302.2	60.7	2.27
MacKenzie	300.2	62.1	2.22
Love III	305.4	57.9	2.21
Garcia	303.5	59.4	2.21
Durant	289.2	70.9	2.2
O'Hair	300.1	61.4	2.02
Singh	301.1	60.2	1.92
Long	298.3	62.4	1.9
Smith	300.8	60.2	1.85
Hend	318.9	45.4	1.89
Hughes	291.3	67.5	1.76
Stadler	300.1	60.4	1.76
Allenby	297.7	62.3	1.75
Mayfair	288.2	69.8	1.71
Appleby	300.6	59.3	1.58
Snyder III	291.8	66.3	1.56
Purdy	295.2	63.4	1.52
Brigman	295.5	63.1	1.5
Bryant	283.2	73	1.49
Rollins	294.4	63.7	1.43
Jobe	302.3	57.3	1.42
Brehaut	286.6	69.9	1.4
Ogilvy	298	60.7	1.4
Henry	297.6	61	1.4
Rose	294.1	63.7	1.37
Westwood	296.8	61.5	1.36
Johnson	290	66.9	1.34
Senden	291	66	1.31
Mickelson	300	58.7	1.3
Watney	298.9	59.4	1.26
Trahan	295.8	61.8	1.23
Pappas	309.4	50.6	1.17

A random sample of 40 PGA golfers was taken. The dataset is in the file PGAdriver.xls. A
researcher is trying to predict (driving) accuracy using (driving) distance.
1. Plot Accuracy vs. Distance and describe.
2. Find least squares regression line and interpret slope in the words of the problem.
3. Find the coefficient of determination (R?) and interpret.
4. Find the correlation coefficient (R) and interpret.
5. Find and interpret a 95% Confidence Interval for the true slope.
6. Find the predicted values for Perry, Stadler and Trahan.
7. Find the residuals values for Perry, Stadler and Trahan
8. Graph the standardized residuals vs. predicted values (x-axis). Describe and comment.
9. Graph the predicted values vs. the actual accuracy values (x-axis). Describe and
comment.
10. Make a normal probability plot of the standardized residuals. Describe and comment.
Submit the answers to the questions in a Word or pdf report file.
Round answers to the thousandths place where applicable.
All graphs and answers must be in the report file!

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