20. A random sample of 8 professional athletes produced the following data where x is the...
20. A random sample of 8 professional athletes produced the following data where x is the number of endorsements the player has and y is the amount of money made (in millions of dollars).
|
x |
y |
|
0 |
1 |
|
1 |
1.5 |
|
1 |
2 |
|
2 |
3 |
|
2 |
3.5 |
|
3 |
3 |
|
5 |
6.5 |
|
5 |
7 |
- (a) Find an equation of the least squares regression line. Round the slope and y-intercept value to two decimal places. Describe method for obtaining results.
- (b) Based on the equation from part (a), what is the predicted amount of money made when a professional athlete has 4 endorsements? Show all work and justify your answer.
- (c) Based on the equation from part (a), what is the predicted amount of money made when a professional athlete has 15 endorsements? Show all work and justify your answer.
- (d) Which predicted amount of money made that you calculated for (b) and (c) do you think is closer to the true amount of the money made and why?
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20. A random sample of 8 professional athletes
produced the following data where x is the...
A random sample of ten professional athletes produced the following data where x is the number...
A random sample of ten professional athletes produced the following data where x is the number of endorsements the player has and y is the amount of money made (in millions of dollars). x y x y 0 2 5 11 3 8 4 9 2 6 3 8 1 3 0 3 6 14 5 10 Use regression to find the equation for the line of best fit. (Round your answers to three decimal places.) ŷ = + x
for this question, could you include written work of the 1) independant and dependant variables? 2)...
for this question, could you include written work of the
1) independant and dependant variables?
2) is it reasonable to use linear regression and why?
3) what is the slope of the line best fit?
4) what is the y-intercept of ^ and what does it
represent?
5) what is the linear coefficent?
6) is the linear coefficent significant and why?
7) if a professional athlete did six endorsements, what could
they expect a profit according to the regression equation?...
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for this question, could you include written work of the
1) independant and dependant variables?
2) is it reasonable to use linear regression and why?
3) what is the slope of the line best fit?
4) what is the y-intercept of ^ and what does it
represent?
5) what is the linear coefficent?
6) is the linear coefficent significant and why?
7) if a professional athlete did six endorsements, what could
they expect a profit according to the regression equation?...
Let x be a random variable that represents the percentage of successful free throws a professional basketball player makes in a season. Let y be a random variable that represents the basketball player makes in a season. A random sample of n = 6 professional basketball players gave the following information. 75 86 73 73 44 3948 51 (a) Verify that Ex - 438, 2y = 277, 2x2 = 32264, y = 12899, Exy = 20365, and r * 0.803....
In this assignment, you will be using a regression tree to
analyze some data about contract negotiations.
Athlete Contract Negotiations (regression tree). Casey Deesel is a sports agent negotiating a contract for Titus Johnston, an athlete in the National Football League (NFL). An important aspect of any NFL contract is the amount of guaranteed money over the life of the contract. Casey has gathered data on 506 NFL athletes who have recently signed new contracts. Each observation (NFL athlete) includes...
Run a regression analysis on the following data set, where y is the final grade in a math class and x is the average number of hours the student spent working on math each week. hours/week Grade х у 4 41.6 4 54.6 8 68.2 8 73.2 8 66.2 11 63.4 11 70.4 11 80.4 13 71.2 16 85.4 State the regression equation y = mx + b, with constants accurate to two decimal places. What is the predicted value...
28 40 25 40 41 15 3. A farmer would like to investigate the relationship between the obtained yield of apple trees and the amount of weeds found in their roots. For this reason, nine apple trees of the same type were randomly selected and the amount of weeds in their roots (7 grams) was recorded together with their yield (y kilograms). Year #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 Weeds in roots (2) 30 32 25...
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