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
30003000
chirps per minute. Use a significance level of 0.05. What is wrong with this predicted value?
Chirps in 1 min |
10971097 |
10091009 |
752752 |
801801 |
824824 |
11401140 |
|
---|---|---|---|---|---|---|---|
Temperature
(degrees°F) |
88.388.3 |
83.183.1 |
65.465.4 |
74.674.6 |
70.670.6 |
83.183.1 |
What is the regression equation?
ModifyingAbove y with caretyequals=nothingplus+nothingx
(Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)
What is predicted y = round one decimal
What is wrong with the predicted value?
y = 31.98 + 0.0486 x
Given x = 3000 then
y = 31.98 + 0.0486 ( 3000 )
y = 177.8
It is not meaningful to have x = 3000 because it is not in the orginal data
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