Question

Problem. Alex Rodriguez is interested in the relationship between the number of games won by a major league baseball team in

(3) What fraction of the total variation can be explained by the linear regression model? Select one: 46.34% 29.25% 30.839 31

0 0
Add a comment Improve this question Transcribed image text
Answer #1
Source df SS MS F p value
regression 1 248.000 248.000 6.20 0.0250
error 15 600.000 40.000
total 16 848.000

1)

sample size =16+1 =17

2)

R2adj= 1-(n-1)*SSE/(SST(n-k-1)) = 0.2453

3)

fraction explained =SSR/SST =248/848 =0.2925~ 29.25 %

4)

none of the other four

Add a comment
Know the answer?
Add Answer to:
Problem. Alex Rodriguez is interested in the relationship between the number of games won by a...
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
  • (1 point) Is the number of games won by a major league baseball team in a...

    (1 point) Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 94 106 74 104 97 83 120 89 267 270 285 266 288 259 266 273 4 Using games won as the explanatory variable x, do the following: (a) The linear correlation coefficient is...

  • 3. The relationship between the number of games won by a minor league team and the...

    3. The relationship between the number of games won by a minor league team and the number of people attending their home games is analyzed. A regression analysis to predict the attendance from the number of games won gives the model yˆ = −2200 +178x where x is the number of wins and y is the number of people attending. a) State the value of the slope of the regression line:_________. Interpret the slope with regards to the story problem...

  • 44. Attendance 2016, revisited In Chapter 6, Exercise 45 looked at the relationship between the number...

    44. Attendance 2016, revisited In Chapter 6, Exercise 45 looked at the relationship between the number of runs scored by Amer- ican League baseball teams and the average attendance at their home games for the 2016 season. Here are the scatterplot, the residuals plot, and part of the regression analysis for all major league teams in 2016 (National League teams in red, American League in blue): 45,000+ 37,500+ Average Home Attendance ::oti 750 Runs 825 15,000+ 7,500 Residuals Oto •:...

  • Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of...

    Question 9 5 pts Major League Baseball Games The following scatter plot shows the number of home runs versus the number of attendance (in 1000 people) for some randomly selected games. Attendance and Runs for 11 Baseball Games. 6 8 10 Runs 2 4 O 20 30 40 -50 Attandance x1000) The following shows the output generated by a software for the least-square regression line using this data: Simple linear regression results: Runs - 1.020 +0.1590 Attendance Sample size: 11...

  • Assignment 7: Problem 14 Previous Problem Problem List Next Problem (1 point) The following data ...

    Assignment 7: Problem 14 Previous Problem Problem List Next Problem (1 point) The following data represents the winning percentage (the number of wins out of 162 games in a season) as wel as the teams Earned Run Average ERA The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect a good pitching staff and ) a goo team defense. You are to investigate the relationship between a team's...

  • What is the relationship between the attendance at a major league ball game and the total...

    What is the relationship between the attendance at a major league ball game and the total number of ruins sored Attendance figures in thousands and the runs scored for randomly selected games are shown Attendance 15 20 21 5212 23 10 32 13 Runs 8 7 0 13 3 2310 9 .. Find the correlation coefficient: - Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: ROO The p-value is Pound to four decimal places...

  • Study Prep, Chapter 13: Correlation, Simple Linear Regression, Multiple Regression MULTIPLE REGRESSION Major League Baseball Team (Team) recently hired Trixie, a third year student in the Fowler Co...

    Study Prep, Chapter 13: Correlation, Simple Linear Regression, Multiple Regression MULTIPLE REGRESSION Major League Baseball Team (Team) recently hired Trixie, a third year student in the Fowler College of Business, for an internship position. After showing Trixie around the facilities, Team provided Trixie with an office, desk, computer, phone, and instructed her to "figure out what professional baseball teams need to do to get fans in the seats." Below is a regression model Trixie developed in trying to get a...

  • At issue is the relationship between the weight of an infant and the number of hours...

    At issue is the relationship between the weight of an infant and the number of hours of sleep the infant gets per day. Attached is an Excel file with sample data for the weight (in pounds) and the number of hours of sleep. Mod4-WeightxHours-Regression-QuantQuiz.xlsx Run regression in Excel and respond to the following questions. Note: this is a small enough data set it's also good practice for the calculator. You can check your work and make sure you get the...

  • in $1,000) of 24 pre-owned pickup . Problem. Andy Williams collected sample data on the mileage (x in 10,000 miles) and...

    in $1,000) of 24 pre-owned pickup . Problem. Andy Williams collected sample data on the mileage (x in 10,000 miles) and the asking price trucks in the Baton Rouge metropolitan area as shown below: Truck Mileage Price ***x==3? V ? (x-99 (y-7) 19 66 12 21 3 6 -199 1,089 121 -11 Total = 1,080 360 1,472 5 75 -165.6 (1) He wants to test if there is a negative relationship between the mileage (x) and the price (Y). Find...

  • (3) Test, at a 0.05 level of significance, the alternate hypothesis that the average price per...

    (3) Test, at a 0.05 level of significance, the alternate hypothesis that the average price per square feet is more than $30 in the greater Baton Rouge area. Problem. Hayley Westenra wants to develop a simple linear regression model, y = B. + B.X + E, to predict the selling price of a house in the greater Baton Rouge area (Y) based on the size of its living area in square feet (x). She asked for your help with the...

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