Find the regression equation, letting the dameter be the predictor 00 variable. Find the best predicted circumference of a beachbal with a diameter of 428 cm. How does the result compare to the actual crcunterence of 134 5 om? Use a signifcance level of 0 0s Diameter Circumterence 26 Basebal Basketbal Golf Soccer Tfennis Ping Pong Volleyball 212 75 239 43 219 6 41 751 135 . 2 129 66 Clck the icon to view the critical values of the Pearson corelation coefficientr The regression equation is y-O-O (Round to fve decimal places as needed)
Find the regression equation, letting the dameter be the predictor 00 variable. Find the best predicted circumference of a beachbal with a diameter of 428 cm. How does the result compare to the actual crcunterence of 134 5 om? Use a signifcance level of 0 0s Diameter Circumterence 26 Basebal Basketbal Golf Soccer Tfennis Ping Pong Volleyball 212 75 239 43 219 6 41 751 135 . 2 129 66 Clck the icon to view the critical values of the Pearson corelation coefficientr The regression equation is y-O-O (Round to fve decimal places as needed)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1)Check Images
2) The best predicted circumference for a diameter of 42.8 cm is? cm.
(Round to one decimal place as needed.)
3) How does the result compare to the actual circumference of? cm?
![Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a beachball with a diameter of 42.8 cm. How does the result compare to the actual circumference of 134.5 cm? Use a significance level of 0.05.
| | Baseball | Basketball | Golf | Soccer | Tennis | Ping-Pong | Volleyball |
|----------|----------|------------|------|--------|--------|-----------|------------|
| Diameter | 7.35 | 23.85 | 4.35 | 22.9 | 6.7 | 3.81 | 21.2 |
| Circumference | 23.1 | 75.3 | 13.6 | 71.5 | 21.1 | 12.0 | 66.6 |
- Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is \( \hat{y} = \) [ ] + [ ]x. (Round to five decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13dbe178-e50b-4ca6-acd9-0f1a5e0d8360%2F72ab6b75-3092-495f-b3e3-2f0489ca97bc%2F2dv6orws_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a beachball with a diameter of 42.8 cm. How does the result compare to the actual circumference of 134.5 cm? Use a significance level of 0.05.
| | Baseball | Basketball | Golf | Soccer | Tennis | Ping-Pong | Volleyball |
|----------|----------|------------|------|--------|--------|-----------|------------|
| Diameter | 7.35 | 23.85 | 4.35 | 22.9 | 6.7 | 3.81 | 21.2 |
| Circumference | 23.1 | 75.3 | 13.6 | 71.5 | 21.1 | 12.0 | 66.6 |
- Click the icon to view the critical values of the Pearson correlation coefficient r.
The regression equation is \( \hat{y} = \) [ ] + [ ]x. (Round to five decimal places as needed.)
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