Problem #2: The data show bug chirps per minute at different temperatures. The significant level is 0.05 Chirps in I min Temperature (°F) 900 500 902 600 700 1000 77.3 80.3 73.9 78.9 67.1 88.7 a) What is the regression equation? b) Check the P-value. Is the P-value < a? answer part c. c) What is the best predicted temperature for a time when a bug is chirping at a rate of 1100 chirps per minute? if yes use the line for prediction. If not, find the mean temperature to StatCrunch commands: stat < regression < simple linear < choose x and y < choose Hypothesis test< Check if P-value is less than or equal to a enter the value of X in the predicted value< compute! If P-value is > a, the predicted value is the mean average of Y values. © G. Nasnas
Problem #2: The data show bug chirps per minute at different temperatures. The significant level is 0.05 Chirps in I min Temperature (°F) 900 500 902 600 700 1000 77.3 80.3 73.9 78.9 67.1 88.7 a) What is the regression equation? b) Check the P-value. Is the P-value < a? answer part c. c) What is the best predicted temperature for a time when a bug is chirping at a rate of 1100 chirps per minute? if yes use the line for prediction. If not, find the mean temperature to StatCrunch commands: stat < regression < simple linear < choose x and y < choose Hypothesis test< Check if P-value is less than or equal to a enter the value of X in the predicted value< compute! If P-value is > a, the predicted value is the mean average of Y values. © G. Nasnas
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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Transcribed Image Text:Problem #2:
The data show bug chirps per minute at different temperatures. The significant level is 0.05
Chirps in I min
900
500
902
600
700
1000
Temperature (°F)
77.3
80.3
73.9
78.9
67.1
88.7
a) What is the regression equation?
b) Check the P-value. Is the P-value < a?
answer part c.
c) What is the best predicted temperature for a time when a bug is chirping at a rate of 1100 chirps per minute?
if yes use the line for prediction. If not, find the mean temperature to
StatCrunch commands: stat < regression < simple linear < choose x and y < choose Hypothesis test< Check if
P-value is less than or equal to a enter the value of X in the predicted value< compute!
If P-value is > a, the predicted value is the mean average of Y values.
© G. Nasnas
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