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.