The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 57 inches. Is the resultclose to the actual weight of 476 pounds? Use a significance level of 0.05.44Chest size (inches)Weight (pounds)5848515860425266347453282408Click the icon to view the critical values of the Pearson correlation coefficient r......What is the regression equation?y=+x (Round to one decimal place as needed.)Activate WindowsView an exampleGet more help-Help me solve thisO Type here to searchhpdeleteinsertprt scf12f1ofg1f7f6f5f3米IOIf1eschombackspace6.L.4UERtabFGJ.Acaps lockpause009,%243.%23

Given : X Y 58 425 48 266 51 347 58 453 44 282 60 408

Answered: 44 Chest size (inches) Weight (pounds)…

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

ou generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r value. The regression equation is reported as y = 96.35a + 77.69 and the r 0.36. What is the correlation coefficient for this data set?
Process the following data and interpret them, namely: - The Regression Equation! - Determine the correlation coefficient and explain the meaning of its value. How do you determine the sign of the correlation coefficient?
Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be explained by the linear relationship between the two variables. r = 0.173 What is the value of the coefficient of determination? 2 = (Round to four decimal places as needed.)
u = (-4.6)
Using your favorite statistics software package, you generate a scatter plot with a regression equ correlation coefficient. The regression equation is reported as y = -11.24x +34.27 and the r = -0.47. What proportion of the variation in y can be explained by the variation in the values of x? r² = % Report answer as a percentage accurate to one decimal place. Submit Question
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $110 million. Use a significance level of alpha equals 0.05 . Budget left parenthesis $ right parenthesis in Millions 42 24 119 69 77 48 121 62 5 63 129 21 12 154 4 Gross left parenthesis $ right parenthesis in Millions 117 16 112 66 111 111 104 90 62 104 219 27 20 288 42 The regression equation is ŷ = __ + __x. (Round to one decimal place as needed.) The linear coefficient of correlation r = ___ (Round to three decimal places as needed.) The critical value of r = ____ The best predicted gross for a move with a $110 million budget is _____.
You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r value. The regression equation is reported as y = – 17.55x + 59.45 and the r? = 0.0081. What is the correlation coefficient for this data set? r =
Please explain simply. Thanks.
use statcrunch to show work
Triples and Home Runs The data below show the number of three-base hits (triples) and the number of home runs hit during the season by a random sample of MLB teams. Triples 33, 37, 27, 29, 18, 21 Home runs 305, 345, 245, 265, 155, 185 The correlation coefficient for the data is r= 1 and a=.01. Should regression analysis be done? The regression analysis should not be done or The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places, if necessary y'= a+bx a= b= find y' when x= 28. Round the answer to at least three decimal places, if necessary y'=
The numbers of pass attempts and passing yards for seven professional quarterback for a recent year are listed in the table below. Round all answers to the nearest 1000th. Pass attempts (x) 449 565 528 197 670 351 218 Passing Yards (y) 3265 4018 3669 1141 5177 2362 1737 Calculate the sample correlation coefficient, r. Describe the type of correlation coefficient and interpret the correlation in the context of the data. Find the equation of the regression line for the data. Use the regression equation to predict the average number passing yards if the pass attempts are 250.
1

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

44 Chest size (inches) Weight (pounds) 51 266 347 58 48 58 60 425 453 282 408 E Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y= +x (Round to one decimal place as needed)