Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT [See Example 2.](−1,0), (2, 2), (7, 7)y(x) = 0.875x+0.875Graph the data and the best-fit line.y1510LO5y15102X26co8104 6 8 101212XXOXXy15105y15105246 82 4 6 810101212XX

Given that: Points are: (-1,0), (2,2), (7,7) To find: Linear regression line or line of best fit

Answered: Find the regression line associated…

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

pls help with steps A statistics teacher was interested in the relationship between the number of days students waited to start a project and the score that project received (out of 100 points). Information was collected on several students and was used to obtain the regression equation ŷ = –3.64x + 96.5, where x represents the number of procrastination days and ŷ is the predicted grade. Which statement best describes the meaning of the y-intercept of the regression line? When the grade is 0, the predicted number of procrastination days is 0. When the grade is 0, the predicted number of procrastination days is 96.5. When the number of procrastination days is 0, the predicted grade is 3.64 points. When the number of procrastination days is 0, the predicted grade is 96.5 points.
Show your work please.
Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 18.00 6.00 2.00 8.00 12.30 6.30 4.80 7.80 2.46 1.89 0.00 0.00 Time Fare Tip 12.71 1.65 1.80 27.00 11.00 25.00 36.80 9.80 16.30 0.00 1.96 1.50 ... 2.47 D 18.00 14.30 4.29 The regression equation is y = y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?
The table describes the height of a weather balloon, in meters, minutes after its launch. Time (minutes) Height (meters) 0 60 1 68.2 2 74.3 3 80.9 4 89.7 8 128.5 Select which equation best models the data. O O O O y = 8.52 +58 y = 8.2x + 60 y = 11.4x +57 y = 11.8x + 54
Needed urgently please
EQuestion Help 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 IA Test score,y 3 (a) x=2 hours (c) x= 12 hours (b) x = 25 hours (d) x= 4.5 hours 38 44 50 47 61 68 Find the regression equation. y = 6.269 x+ (32.48) (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Choose the correct graph below. OD. OB. OC. O A. 80- 80- 80 80-4 0-+ Hours studying Hours studying Hours studying Hours studying 10 18 PM (E) More 10/3/2020 Click to select your answer(s)
Thanks in advance
Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT [See Example 2.] (3, 4), (4, 4), (5, 5) y(x) = Graph the data and the best-fit line.
Help please
Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT [See Example 2.] (−1, 0), (2, 2), (7, 7) y(x) = 0.875x+0.875 X

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

Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT [See Example 2.] (-1,0), (2, 2), (7,7) y(x) = 0.875x+0.875 Graph the data and the best-fit line. y 15 10 X 5 y 15 10 5