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 3 6 57 37 15 23 22 2 27 - 27 31 - 41 32 - 57
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 3 6 57 37 15 23 22 2 27 - 27 31 - 41 32 - 57
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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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
3
57
63
37
15
23
22
2
27
- 27
31
- 41
32
- 57
Transcribed Image Text:a. Find the explained variation.
(Round to two decimal places as needed.)
b. Find the unexplained variation.
(Round to five decimal places as needed.)
c. Find the indicated prediction interval.
°F<y<°F
(Round to four decimal places as needed.)
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VIEWStep 2: Determine the explained variation for the data set.
VIEWStep 3: Determine the unexplained variation for the data set.
VIEWStep 4: Determine the regression equation for the given data set.
VIEWStep 5: Determine the prediction interval for estimated temperature at an altitude of 6327 feet.
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