help with questions 1, 2 and 3 please.. 1.What is the regression​ equation? y=____+_____x ​(Round the​ x-coefficient to four decimal places as needed. Round the constant to two decimal places...


help with questions 1, 2 and 3 please..


1.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.)


2. 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.)


3.What is wrong with this predicted​ value? Choose the correct answer below.



A.It is unrealistically high. The value 3000 is far outside of the range of observed values.





B.It is only an approximation. An unrounded value would be considered accurate.





C.The first variable should have been the dependent variable.





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)<br>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<br>0.05. What is wrong with this predicted value?<br>Chirps in 1 min<br>Temperature (

Extracted 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 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 Temperature ("F) 1186 1224 1106 924 1076 829 D 88.8 91.6 90.1 71.5 79.9 74.2 What is the regression equation? + (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.)

Jun 04, 2022
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