Using the weights (b) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight Cothrough (d).E Click the icon to view the car data......b. What are the specific values of the slope and y-intercept of the regression line?O A. The slope is 58.9 and the y-intercept is - 0.00749.O B. The slope is 58.9 and the y-intercept is 0.007499.O C. The slope is -0.00749 and the y-intercept is 58.9.O D. The slope is 0.00749 and the y-intercept is 58.9.c. What is the predictor variable?O A. The predictor variable is highway fuel consumption, which is represented by x.O B. The predictor variable is highway fuel consumption, which is represented by y.O C. The predictor variable is weight, which is represented by x.O D. The predictor variable is weight, which is represented byd. Assuming that there is a significant linear correlation between weight and highway fuel consumption what is the best predicted value for a car that weighs 2995 lb?The best predicted value of highway fuel consumption of a car that weighs 2995 lb is(Round to one decimal place as needed.)mi/gal.Activate WindowsStatcrunche005sttngs to activateP Type here to search0日|hpf3f4fsf12escIOIinsert$44%23&3.ET.YtabFGKcaps lockCN Mshift 1%24米

b. The specific values of the slope and y-intercept of the regression line is: C. The slope is…

Answered: Using the weights (Ib) and highway fuel…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Please answer ASAP. Thank you.
You need to determine the slope of the regression line for a data set. The sums of the variables are given below. n = 14 Ex = 146.5 Ey = 993 Exy = 10,427 Ex2 = 1552 Ey? : = 70,510.5 Find the slope, only. Round the answer to the thousandths place.
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 20.455 + 0.335x, where x = price ($) and y = overall score. Brand Price ($) Score A 180 78 В 150 69 C 95 59 70 56 E 70 38 F 35 24 (a) Compute SST (Total Sum of Squares), SSR (Regression Sum of Squares), and SSE (Error Sum of Squares). (Round your answers to three decimal places.) SST = SSR = SSE = (b) Compute the coefficient of determination r. (Round your answer to three decimal places.) 12 = Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares line…
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by Consumer Reports (Consumer Reports website). The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 25.6590 +0.2934x, where x = price ($) and y = overall score. a. Compute SST, SSR, and SSE (to 3 decimals). SST = SSR = Brand Bose Scullcandy = Koss Phillips/O'Neill Denon JVC SSE = b. Compute the coefficient of determination 2 (to 3 decimals). 72 Price ($) 180 160 95 70 70 25 Score 75 71 62 56 40 26 h Comment on the goodness of fit. Hint: If 2 is greater than 0.70, the estimated regression equation provides a good fit. The least squares line - Select your answer a good fit as - Select your answer - proportion of the variability in y has been explained by the least squares line. c. What is the value of the sample correlation coefficient (to…
Find the regression equation: choices of correct answer: a. y=91.533+9.905x b. y=81.533+8.805x c. y=101.533+10.905x d. y=71.533+7.705x
Find the equation of the regression line for the given data:
The figure for this exercise is a scatterplot of y with the following formula. Average math = 575 600 Average math SAT 575. 550 $525. 500- - = 1.11(Percent took) average math test score versus x = percent of graduating seniors who took the test for the 50 states. The regression line for these data is expressed 475 10 20 30 40 50 60 70 80 Percent taking test 90 (a) The slope of the equation is -1.11. Interpret this value in the context of how average math test changes when the percent of graduates taking the test changes. Average math test decreases 1.11 points per each 1-percent decrease in the percentage of high school graduates taking the test. Average math test decreases 575 points per each 1-percent increase in the percentage of high school graduates taking the test. Average math test decreases 575 points per each 1-percent decrease in the percentage of high school graduates taking the test. Average math test increases 1.11 points per each 1-percent increase in the percentage of…
What type of relationship does the following regression line represent? O O O a. No relationship b. A curvilinear relationship c. A positive relationship d. A negative relationship
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 7.
Find the explanation variation for the paired data. The equation of the regression line for the paired data below is y = 3x. Find the explained variation.
Using the regression formula with a slope = .704 and an intercept = .719, what would the predicted college GPA be for a student whose current high school GPA = 3.2?
Caselet #1 ADVERTISEMENT A marketing executive wishes to determine whether there is a relationship between the number of television commercials aired per week and the number of sales (in thousand pesos) of a product. The data for the sample follow. Number of Ads, x 2 8. 8. 10 12 Sales, y 2 4 7 6. 10

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS