Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min 770 1104 969 967 1101 1239 841 881 Temperature (°F) 70.8 87.8 78 75.5 83.4 93.3 70.4 73.3 The regression equation is y=+x. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.) The best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, based on the regression equation, is enter your response here°F. (Round to the nearest integer as needed.) What is wrong with this predicted temperature? A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The chirps in 1 minute should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be treated as an accurate prediction.
Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min 770 1104 969 967 1101 1239 841 881 Temperature (°F) 70.8 87.8 78 75.5 83.4 93.3 70.4 73.3 The regression equation is y=+x. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.) The best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, based on the regression equation, is enter your response here°F. (Round to the nearest integer as needed.) What is wrong with this predicted temperature? A. It is unrealistically high. The value 3000 is far outside of the range of observed values. B. The chirps in 1 minute should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be treated as an accurate prediction.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in
°F.
Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps
3000
times in 1 minute, using the regression equation. What is wrong with this predicted temperature?|
Chirps in 1 min
|
770
|
1104
|
969
|
967
|
1101
|
1239
|
841
|
881
|
|
|---|---|---|---|---|---|---|---|---|---|
|
Temperature
(°F)
|
70.8
|
87.8
|
78
|
75.5
|
83.4
|
93.3
|
70.4
|
73.3
|
The regression equation is
y=+x.
(Round the y-intercept to
one decimal place
as needed. Round the slope to four decimal places as needed.)The best predicted temperature at a time when a cricket chirps
3000
times in 1 minute, based on the regression equation, is
enter your response here°F.
(Round to the nearest integer as needed.)
What is wrong with this predicted temperature?
It is unrealistically high. The value 3000 is far outside of the range of observed values.
The chirps in 1 minute should have been the dependent variable.
It is only an approximation. An unrounded value would be considered accurate.
Nothing is wrong with this value. It can be treated as an accurate prediction.
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