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 be oredicted 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 valu Chirps in 1 min Temperature (°F) 757 1035 989 75.4 763 1229 990 5 72.7 95.6 69.6 86.6 82 What is the regression equation? Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)

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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 be
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
Temperature (°F)
989
763
1229
757
1035 990 O
75.4
72.7
95.6
69.6
86.6
82
What is the regression equation?
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
Transcribed Image Text: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 be 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 Temperature (°F) 989 763 1229 757 1035 990 O 75.4 72.7 95.6 69.6 86.6 82 What is the regression equation? (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
Expert Solution
Step 1

Software procedure for regression in Excel.

  • Enter the given data in EXCEL sheet as Chirps in 1 minute in column A, temperature in column B.
  • Go to Data > Data Analysis > Regression.
  • Select x and y ranges with labels.
  • Click OK.

 

 

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