Drive for show, putt for dough.

A popular saying in golf is "You drive for show, but you putt for dough." The point is that hitting the golf ball a long way with a driver looks impressive, but putting well is more important for the final score and hence the amount of money you win. You can find this season's Professional Golfer's Association (PGA) Tour statistics at the PGA Tour or ESPN's website. (I have provided the data for you in the "PGA data" file attached to this assignment. Some players were omitted from the dataset due to lack of data.)

The data provided is from the 2019-2020 PGA Tour season for putting, yards per drive, money earnings and a few other factors.

1. Examine the putting avg., money earnings, and yards per drive variables by calculating their descriptive statistics. Copy and paste the results from the software here:

2. Make a histogram of each of the three variables and describe their shapes (unimodal, bimodal, multimodal, skewness, etc.) Copy and paste the graphs here:

3. Make boxplots of each of the three variables. Are there any outliers? Copy and paste the graphs here:

4. Make a scatterplot of earnings and putting average and paste your results below. Use earnings as the response variable. Are there any outliers?

5. Calculate the correlation coefficient for putting average and earnings. Describe the direction, form, and strength of the relationship in the plot.

6. Now, insert a least-squares regression line and show its equation on the graph. Paste the results below. What is the coefficient of determination for this model?

7. What is the slope of the least-squares line?

a. Interpret the meaning of the slope in this context and be specific by using the variable names. Don't just say "y" and "x".

8. Use the regression equation to make a prediction by picking a value for the predictor variable and using it to calculate a value for the response variable. Show your work below:

a) Is your prediction accurate? Are your results reliable?

9. By looking at the scatterplot, what can you say about the putting averages of good players? Is higher or lower putting average expected amongst good players?

10. Make a scatterplot of earnings and yards per drive. Use earnings as the response variable. Describe the direction, form, and strength of the relationship in the plot. Are there any outliers?

11. By looking at the scatterplot, is it possible to say anything about the yards per drive of good players? Do good players typically have higher or lower yards per drive?

12. Now that you have examined the relationship between earnings and yards per drive and putting average, do you find anything surprising about the results? Which model is the better predictor of earnings?

PGA STATS

https://us.docworkspace.com/d/sADDEohPctvZTiKuonaynFA