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
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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.)
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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