Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet). Altitude Temperature a. Find the explained variation. (Round to two decimal places as needed.) 2 55 8 40 13 25 C 20 -3 28 -26 31 -41 34 -53

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction
interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95%
confidence level with the altitude of 6327 ft (or 6.327 thousand feet).
Altitude
Temperature
a. Find the explained variation.
(Round to two decimal places as needed.)
2
55
8
40
13
25
20
- 3
28
- 26
31
- 41
34
- 53
Transcribed Image Text:Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet). Altitude Temperature a. Find the explained variation. (Round to two decimal places as needed.) 2 55 8 40 13 25 20 - 3 28 - 26 31 - 41 34 - 53
Expert Solution
Introduction

Variation explain the spread of each observation from the mean. It explained the squared difference of each observation from the mean. Explained variance of dependent variable from its mean. It is calculated using the formula :

Explained variance in Y=y^-y¯2

where y^=a+bx

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Follow-up Questions
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Follow-up Question
Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a)
explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support
a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the
prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet).
Altitude
Temperature
2
55
a. Find the explained variation.
8
40
10370.30
(Round to two decimal places as needed.)
b. Find the unexplained variation.
(Round to five decimal places as needed.)
13
25
20
- 3
28
- 26
31
41
34
- 53
Transcribed Image Text:Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with the altitude of 6327 ft (or 6.327 thousand feet). Altitude Temperature 2 55 a. Find the explained variation. 8 40 10370.30 (Round to two decimal places as needed.) b. Find the unexplained variation. (Round to five decimal places as needed.) 13 25 20 - 3 28 - 26 31 41 34 - 53
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