Question

The following is a chart of 25 baseball players' salaries and statistics from 2016.
Player Name RBIs HRs AVG Salary (in millions) Carlos Gonzalez ard Curtis Granderson S9 Logan For Matt Hollida Adam Jones Yoe

In order to have correlation with 95% 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=

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=

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? Select an answer Yes No

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

A.) Regression equation with RBI's

B.) Regression equation with HR's

C.) Regression equation with AVG

D.) The average of the 25 salaries

Using that method, predict the salary for Buster Posey. His stats were:

RBI: 80

HR: 14

AVG: 0.288

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

His actual salary was $20.802 million.

0 0
Add a comment Improve this question Transcribed image text
Know the answer?
Add Answer to:
The following is a chart of 25 baseball players' salaries and statistics from 2016. In order...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • The following is a chart of 25 baseball players' salaries and statistics from 2016 Player Name...

    The following is a chart of 25 baseball players' salaries and statistics from 2016 Player Name Salary (in millions) RBI's HR'S AVG Mike Trout 0.315 100 29 16.083 0.261 Joe Mauer 49 11 23.000 Victor Martinez 86 27 0.289 18.000 Albert Pujols 119 31 0.268 25.000 Hanley Ramirez 111 30 0.286 22.750 Jayson Werth 21.571 70 21 0.244 Buster Posey 0.288 80 14 20.802 Rajai Davis Adam Jones 48 12 0.249 5.950 0.265 83 29 16.000 Joey Votto 97 29...

  • The following is a chart of 25 baseball players' salaries and statistics from 2016. Player Nam...

    The following is a chart of 25 baseball players' salaries and statistics from 2016. Player Name RBI's HR's AVG Salary (in millions) Joe Mauer 49 11 0.261 23.000 Robinson Cano 103 39 0.298 24.050 Leonys Martin 47 15 0.245 4.150 Brandon Crawford 84 12 0.275 6.000 Colby Rasmus 54 15 0.206 15.800 Carlos Gonzalez 100 25 0.298 17.454 Matt Kemp 108 35 0.268 21.500 Prince Fielder 44 8 0.212 18.000 Mark Teixeira 44 15 0.204 23.125 Yoenis Cespedes 86 31...

  • We wish to predict the salary for baseball players (y) using the variables RBI (3) and...

    We wish to predict the salary for baseball players (y) using the variables RBI (3) and HR (22), then we use a regression equation of the form y = b + b + b 22. • HR - Home runs - hits on which the batter successfully touched all four bases, without the contribution of a fielding error. • RBI - Run batted in - number of runners who scored due to a batters's action, except when batter grounded into...

  • 4. The data set below shows the length of service (in years)and salaries in thousands of...

    4. The data set below shows the length of service (in years)and salaries in thousands of dollars) for 10 randomly selected employees. Length of service, 2 Salary, y 0.5 2 4 6 8 10 .75 39 41 41 40.5 42 41 40 1 6 8 38 41 42 (a) Construct a scatter plot for the data showing the regression line. (b) Find the equation of the regression line for the data. (c) Find the value of the correlation coefficient, r....

  • Use EXCEL and screenshot all steps The following 6 questions are related. A statistics practitioner in...

    Use EXCEL and screenshot all steps The following 6 questions are related. A statistics practitioner in an international company is investigating the factors that affect salary of sale managers. He wondered if evaluations by customers are related to salaries. To this end, he collected 100 observations on: y      =   Annual salary (in dollars) x      =   Mean score on customer evaluations       To accomplish his goal, he assumes the following relationship: y = β(0) +  β(1)x + ε      Then, using...

  • Using a random sample of 25 vehicles, is there a relationship between a vehicle's weight (measured...

    Using a random sample of 25 vehicles, is there a relationship between a vehicle's weight (measured in kg) and it fuel mileage (measured in miles per gallon)? Complete the following correlation and regression analysis using the Minitab Express output. Satterplot of vehicle mileage vs vehicle weight vehide mileage Correlation Pearson r = -0.866579 P.Value = <0.0001 Model Summary S R-sq R-sgiad) 3.01615 75.10% 74.01% Regression Equation vehicle mileage = 45.645 -0.0052220 vehicle weight vehicle we oht a) Describe the nature...

  • Note : the answer should be computerized please Question 2. linear Regr ession (5Marks) The following...

    Note : the answer should be computerized please Question 2. linear Regr ession (5Marks) The following data are the monthly salaries Y and the grade point averages X for students who obtained a bachelor's degree in business administration. GPA X 2.6 3.4 3.6 3.2 3.5 2.9 Salary Y, S3300 S3600 S4000 S3500 S3900 $3600 Answer all the following questions 1) Develop a scatter diagram for these data. (1 mark) 2) Is there any relationship between GPA and Salary? (1 mark)...

  • Name Economics 5 Ch 13 Practice The follo wing data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administ ration Obser vatio...

    Name Economics 5 Ch 13 Practice The follo wing data are the monthly salaries y and the grade point averages x for students who obtained a bachelor's degree in business administ ration Obser vation index xi 2.6 3300 3.4 3600 3.6 4000 3.2 3500 3.5 3900 2.9 3600 TSS Totals SSR SSE 1. Calculate and y 2. Use the least squares method to develop the estimated regression equation. Use two decimal points in your answers for bo and bi. 3....

  • Problem: You are interested in factors that predict the salaries of catwalk models. You collected...

    Problem: You are interested in factors that predict the salaries of catwalk models. You collected data from 231 models (attached SPSS data file: supermodel_1.sav). For each model, you asked: salary per day in dollars (on days when working (variable: salary_2), age (variable: age), and how many years they have worked as a model (variable: years). You also got a panel of experts from various modeling agencies to rate the attractiveness of each model as a percentage, with 100% being perfectly...

  • Problem Definition: A wholesale supplier wants to predict the average cost associated with shipping orders of...

    Problem Definition: A wholesale supplier wants to predict the average cost associated with shipping orders of various sizes. The order sizes and shipping costs for the past twelve months are provided in the table below. Set alpha at .01. Order sizes and shipping costs for last twelve months Size of Orders =X Shipping Costs =Y 1068 4489 1026 5611 767 3290 885 4113 1156 4883 1146 5425 892 4414 938 5506 769 3346 677 3673 1174 6542 1009 5088 Review...

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT