Question 5 had a chart of 25 baseball players' salaries and statistics from 2016. Using the information from that question answer the following.

In order to have correlation with 95% significance, the critical r-value that we would like to have is 0.396.

(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?

HR vs. Salary

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

Correlation coefficient:

Regression Equation: [y =]

Do you have significant correlation?

AVG vs. Salary

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

Correlation coefficient:

Regression Equation: [y =]

Do you have significant correlation?

Mean Salary

The mean salary of the listed players in question 5 is .

Prediction

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

Using that method, predict the salary for Miquel Cabrera. His stats were:

RBI: 108

HR: 38

AVG: 0.316

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

His actual salary was $28.050 million.