The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 821 937 761 1108 902 1183 Temperature (°F) 69.4 77.6 73 81.1 76.5 86.8 What is the regression equation? y=_______+_______x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is ______ F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. A. The first variable should have been the dependent variable. B. It is only an approximation. An unrounded value would be considered accurate. C. It is unrealistically high. The value 3000 is far outside of the range of observed values. D. Nothing is wrong with this value. It can be treated as an accurate prediction.
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value? Chirps in 1 min 821 937 761 1108 902 1183 Temperature (°F) 69.4 77.6 73 81.1 76.5 86.8 What is the regression equation? y=_______+_______x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) What is the best predicted temperature for a time when a bug is chirping at the rate of 3000 chirps per minute? The best predicted temperature when a bug is chirping at 3000 chirps per minute is ______ F. (Round to one decimal place as needed.) What is wrong with this predicted value? Choose the correct answer below. A. The first variable should have been the dependent variable. B. It is only an approximation. An unrounded value would be considered accurate. C. It is unrealistically high. The value 3000 is far outside of the range of observed values. 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
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Question
The data show the bug chirps per minute at different temperatures. Find the regression equation, letting the first variable be the independent (x) variable. Find the best predicted temperature for a time when a bug is chirping at the rate of
3000
chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value?|
Chirps in 1 min
|
821
|
937
|
761
|
1108
|
902
|
1183
|
|
|---|---|---|---|---|---|---|---|
|
Temperature
(°F)
|
69.4
|
77.6
|
73
|
81.1
|
76.5
|
86.8
|
What is the regression equation?
y=_______+_______x
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
What is the best predicted temperature for a time when a bug is chirping at the rate of
3000
chirps per minute?The best predicted temperature when a bug is chirping at
3000
chirps per minute is ______ F. (Round to one decimal place as needed.)
What is wrong with this predicted value? Choose the correct answer below.
The first variable should have been the dependent variable.
It is only an approximation. An unrounded value would be considered accurate.
It is unrealistically high. The value 3000 is far outside of the range of observed values.
Nothing is wrong with this value. It can be treated as an accurate prediction.
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