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
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
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

Note: Hi there! Thank you for posting the question. As there are multiple sub parts, according to our policy we have solved the first three sub parts. If you need help with other sub parts, please re post separately.1. In this case Distance (x) is the independent variable and Accuracy (y) is the dependent variable. Enter the data in Excel. Software procedure: Step-by-step procedure to obtain the scatterplot using EXCEL is defined as follows: Open an EXCEL file and enter the data. Select the data of Distance and Accuracy. Choose Insert > Scatter. Output obtained using Excel is given below: From the scatterplot it is obtained that, there is a negative linear relation between Distance and Accuracy. As the distance increases the driving accuracy decrease.2. Step-by-step software procedure to obtain regression equation using EXCEL is defined as follows: Open an EXCEL file and enter the data. In Data, select Data Analysis and choose Regression. In Input Y Range, select $C$1:$C$41. In Input X Range, select $B$1:$B$41. Select Labels. Click OK. Output obtained using Excel is given below: The regression equation is, Accuracy = 250.142 – 0.629 Distance. The slope is -0.629. It can be said that, if one more unit distance is covered, the driving accuracy will be decreased by 0.629 unit.3. The coefficient of determination is R2 = 0.822. It can be said that, 82.2% variability in driving accuracy can be explained by the variation of distance using the regression.

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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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