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.) 3 59 10 38 17 27 CHE 24 -8 27 -27 31 -41 32 -52 C
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.) 3 59 10 38 17 27 CHE 24 -8 27 -27 31 -41 32 -52 C
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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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.)
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Transcribed Image Text:F
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.)
me solve this
F2
Get more help.
#
20
F3
$
DOO
000 F4
%
3
59
2
F5
10
38
=
H
"I'
F6
17
27
MacBook Air
&
0
◄◄
F7
CIER
√₁
*
24
-8
V
► 11
F8
27
-27
1. (L.)
Þ
I
C
More
F9
31
-41
F10
32
-52
Clear all
4)
C
F11
?
Check answer
+
=
F12
x
(1)
delete
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