Consider the following data for two variables, x and y. 32 18 15 26 y 11 | 19 20| 17 | 21 (a) Develop an estimated regression equation for the data of the form ý = b, + b,x. (Round b, to two decimal places and b, to three decimal places.) Comment on the adequacy of this equation for predicting y. (Use a = 0.05.) O The high p-value and low coefficient of determination indicate that the equation is inadequate. O The high p-value and high coefficient of determination indicate that the equation is adequate. O The low p-value and low coefficient of determination indicate that the equation is inadequate. O The low p-value and high coefficient of determination indicate that the equation is adequate. (b) Develop an estimated regression equation for the data of the form ý = b, + b,x + b,x². (Round b, to two decimal places and b, to three decimal places and b, to four decimal places.) タ= Comment on the adequacy of this equation for predicting y. (Use a = 0.05.) O The high p-value and low coefficient of determination indicate that the equation is inadequate. O The high p-value and high coefficient of determination indicate that the equation is adequate. O The low p-value and low coefficient of determination indicate that the equation is inadequate. O The low p-value and high coefficient of determination indicate that the equation is adequate. (c) Use the model from part (b) to predict the value of y when x = 20. (Round your answer to two decimal places.)

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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### Consider the following data for two variables, \( x \) and \( y \).

| \( x \) | 9  | 32 | 18 | 15 | 26 |
|---------|----|----|----|----|----|
| \( y \) | 11 | 19 | 20 | 17 | 21 |

#### (a) Develop an estimated regression equation for the data of the form \( \hat{y} = b_0 + b_1x \). 
(Round \( b_0 \) to two decimal places and \( b_1 \) to three decimal places.)

\( \hat{y} = \) [Input Box]

Comment on the adequacy of this equation for predicting \( y \). (Use \( \alpha = 0.05 \).)

- [ ] The high \( p \)-value and low coefficient of determination indicate that the equation is inadequate.
- [ ] The high \( p \)-value and high coefficient of determination indicate that the equation is adequate.
- [ ] The low \( p \)-value and low coefficient of determination indicate that the equation is inadequate.
- [ ] The low \( p \)-value and high coefficient of determination indicate that the equation is adequate.

#### (b) Develop an estimated regression equation for the data of the form \( \hat{y} = b_0 + b_1x + b_2x^2 \). 
(Round \( b_0 \) to two decimal places, \( b_1 \) to three decimal places, and \( b_2 \) to four decimal places.)

\( \hat{y} = \) [Input Box]

Comment on the adequacy of this equation for predicting \( y \). (Use \( \alpha = 0.05 \).)

- [ ] The high \( p \)-value and low coefficient of determination indicate that the equation is inadequate.
- [ ] The high \( p \)-value and high coefficient of determination indicate that the equation is adequate.
- [ ] The low \( p \)-value and low coefficient of determination indicate that the equation is inadequate.
- [ ] The low \( p \)-value and high coefficient of determination indicate that the equation is adequate.

#### (c) Use the model from part (b) to predict the value of \( y \) when \( x = 20 \). 
(Round your answer to two decimal
Transcribed Image Text:### Consider the following data for two variables, \( x \) and \( y \). | \( x \) | 9 | 32 | 18 | 15 | 26 | |---------|----|----|----|----|----| | \( y \) | 11 | 19 | 20 | 17 | 21 | #### (a) Develop an estimated regression equation for the data of the form \( \hat{y} = b_0 + b_1x \). (Round \( b_0 \) to two decimal places and \( b_1 \) to three decimal places.) \( \hat{y} = \) [Input Box] Comment on the adequacy of this equation for predicting \( y \). (Use \( \alpha = 0.05 \).) - [ ] The high \( p \)-value and low coefficient of determination indicate that the equation is inadequate. - [ ] The high \( p \)-value and high coefficient of determination indicate that the equation is adequate. - [ ] The low \( p \)-value and low coefficient of determination indicate that the equation is inadequate. - [ ] The low \( p \)-value and high coefficient of determination indicate that the equation is adequate. #### (b) Develop an estimated regression equation for the data of the form \( \hat{y} = b_0 + b_1x + b_2x^2 \). (Round \( b_0 \) to two decimal places, \( b_1 \) to three decimal places, and \( b_2 \) to four decimal places.) \( \hat{y} = \) [Input Box] Comment on the adequacy of this equation for predicting \( y \). (Use \( \alpha = 0.05 \).) - [ ] The high \( p \)-value and low coefficient of determination indicate that the equation is inadequate. - [ ] The high \( p \)-value and high coefficient of determination indicate that the equation is adequate. - [ ] The low \( p \)-value and low coefficient of determination indicate that the equation is inadequate. - [ ] The low \( p \)-value and high coefficient of determination indicate that the equation is adequate. #### (c) Use the model from part (b) to predict the value of \( y \) when \( x = 20 \). (Round your answer to two decimal
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