The following is a chart of 25 baseball players' salaries and statistics from 2019.

Player Name	RBI's	HR's	AVG	Salary (in millions)
Freddie Freeman	121	38	0.295	21.409
Tucker Barnhart	40	11	0.231	2.938
Gordon Beckham	15	6	0.215	0.700
Eugenio Suarez	103	49	0.271	7.286
Daniel Descalso	15	2	0.173	1.500
Scott Kingery	55	19	0.258	1.500
Cameron Maybin	32	11	0.285	0.555
Charlie Blackmon	86	32	0.314	21.333
Yadier Molina	57	10	0.270	20.000
Brandon Lowe	51	17	0.270	1.000
Eric Hosmer	99	22	0.265	21.000
Jay Bruce	59	26	0.216	14.000
Paul Goldschmidt	97	34	0.260	15.500
Robinson Cano	39	13	0.256	24.000
Rougned Odor	93	30	0.205	7.833
Roberto Perez	63	24	0.239	2.625
Starling Marte	82	23	0.295	10.333
Carlos Santana	93	34	0.281	20.333
Max Kepler	90	36	0.252	6.000
Khris Davis	73	23	0.221	16.500
Miguel Cabrera	59	12	0.283	30.000
Ian Desmond	65	20	0.255	15.000
Adam Eaton	49	15	0.279	8.400
Marwin Gonzalez	55	15	0.264	12.000
Lorenzo Cain	48	11	0.260	15.025

In order to have correlation with 95% confidence (5% significance), what is the critical r-value that we would like to have?

(Round to three decimal places for all answers on this assignment.)

RBI vs. Salary

Complete a correlation analysis, using RBI's as the x-value and salary as the y-value.

Correlation coefficient:

Regression Equation:y=

Do you have significant correlation? Yes No

HRvs. Salary

Complete a correlation analysis, using HR'sas the x-value and salary as the y-value.

Correlation coefficient:

Regression Equation:y=

Do you have significant correlation? Yes No

AVGvs. Salary

Complete a correlation analysis, using AVGas the x-value and salary as the y-value.

Correlation coefficient:

Regression Equation:y=

Do you have significant correlation? Yes No

Prediction

Based on your analysis, if you had to predict a player's salary, which method would be the best? Select an answer:

Regression equation with RBI's

Regression equation with HR's

Regression equation with AVG T

he average of the 25 salaries

Using that method, predict the salary for Xander Bogaerts. His stats were:

RBI: 117

HR: 33

AVG: 0.309

Based on your analysis, his predicted salary would be: $ million

His actual salary was $12.000 million.