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) indicate 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 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 57 9 36 16 22 SCIE 21 4 27 -35 31 -41 34 - 60 O
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) indicate 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 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 57 9 36 16 22 SCIE 21 4 27 -35 31 -41 34 - 60 O
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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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
57
36
16
22
21
27
-35
31
-41
34
- 60
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