Player payroll, x(in $1,000,000s)Meanattendance, y(in thousands)Anaheim62.828.5245Baltimore56.533.0940Boston110.232.7235Chicago WhiteSox54.520.7430Cleveland74.932.3525Detroit54.418.5220Kansas City49.416.3015+Minnesota41.323.7010 +New York Yankees133.442.84Oakland41.926.79Seattle86.143.700.20406080100120140Tampa Bay|Теxas34.713.21106.929.01Player payroll (in $1,000,000s)Toronto66.820.25Figure 1Send data to calculatorSend data to ExcelThe value of the sample correlation coefficient r for these data is annroYimatMean attenda(in thousands) The value of the sample correlation coefficient r for these data is approximately 0.728.Answer the following. Carry your intermediate computations to at least four decimal places, and round your answers as specified below.(If necessary, consult a list of formulas.)(a) What is the value of the slope of the least-squares regression line for these data?Round your answer to at least two decimal places.(b) What is the value of the y-intercept of the least-squares regression line for these data?Round your answer to at least two decimal places.

For the given data Find Slope =? Y - intercept = ?

Answered: The value of the sample correlation…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The local utility company surveys 12 randomly selected customers. For each survey participant, the company collects the following: annual electric bill (in dollars) and home size (in square feet). Output from a regression analysis is as follows: bill = 16.2 + 3.58. size. Coefficients Estimate Std. Error (Intercept) 16.2 Size 3.58 0.47 0.68 Round your answer to three decimal places, and round any interim calculations to four decimal places. We are 99% confident that the mean annual electric bill increases by between dollars for every additional square foot in home size. dollars and
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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. (a) x= 160 calories (c) x = 140 calories (b) x = 100 calories (d) x= 200 calories 130 90 180 Calories, x Sodium, y 150 170 130 410 460 350 360 280 530 Find the regression equation. (Round to three decimal places as needed.)
Please assist with question b
The accompanying data are the number of wins and the earned run averages (mean number of earned runs allowed per nine innings pitched) for eight baseball pitchers in a recent season. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x = 5 wins Click the icon to view the table of numbers of wins and earned run average. (b) x = 10 wins (c) x = 21 wins (d) x = 15 wins ERA 6- ERA 6- AERA 6- ERA 6- 4- 4- 4- 4- 2- 2- 2- 2- 0+ 6 0- 0- 0- 12 18 24 6. 12 18 24 12 18 24 6 12 18 24 Wins Wins Wins Wins (a) Predict the ERA for 5 wins, if it is meaningful. Select the correct choice below and, if necessary, fill in the answer box within your choice. A. ŷ= (Round to two decimal places as needed.) B. It is not meaningful to predict this value of y because…
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x D Test score, y Test score 80- 0- E Hours studying Q 0 39 Find the regression equation. ŷ=x+ X (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OA. G 2 44 OB. 3 50 Test score 80- #R 0 3 48 Hours studying (a) Predict the value of y for x=2. Choose the correct answer below. OA. 49.8 OB. 47.0 OC. 55.5 OD. not meaningful (b) Predict the value of y for x=3.5 Choose the correct answer below. 4 65 Q 6 70 wwx O C. Test score 80+ (a) x=2 hours (c) x = 15 hours 8 Hours studying Q Q O D. 80- (b)x= 3.5…
Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary. Ten students in a graduate program were randomly selected. Their grade point averages (GPAs) when they entered the program were between 3.5 and 4.0. The following data were obtained regarding their GPAs on entering the program versus their current GPAs.
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a. Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,8), use the pairs of values for the remaining 9 points and find the equation of the regression line.. c. Compare the results from parts (a) and (b). C a. What is the equation of the regression line for all 10 points? ŷ=+x (Round to three decimal places as needed.) b. What is the equation of the regression line for the set of 9 points? y = (Round to three decimal places as needed.) y= c. Choose the correct description of the results below. OA. The regression line changes, but the change is small. OB. The regression line is very similar in both cases. OC. There is no regression line for the second case because the data are in a pattern. On The removal of the point has a significant impact on the regression line 10 8- 0 ++++++ 0 2 4 6 8 10. OON
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= - 0.884 Calculate the coefficient of determination. (Round to three decimal places as needed.)
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r = 0.444 Calculate the coefficient of determination. (Round to three decimal places as needed.)
consider the following points (1.3,2.4) (2.5,2.4) (3.3,2) (4.2,1.8) (5.1,1.6) find the equation of the regression line (round the values 2 decimal placed.

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