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 1012 872 895 1078 1235 1172 Temperature (°F) 81.9 76.3 78.4 84 87.2 88.4 What is the regression equation? y= +. x 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 ? 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. The first variable should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. 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 1012 872 895 1078 1235 1172 Temperature (°F) 81.9 76.3 78.4 84 87.2 88.4 What is the regression equation? y= +. x 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 ? 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. The first variable should have been the dependent variable. C. It is only an approximation. An unrounded value would be considered accurate. D. Nothing is wrong with this value. It can be treated as an accurate prediction.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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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 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
|
1012
|
872
|
895
|
1078
|
1235
|
1172
|
|
|---|---|---|---|---|---|---|---|
|
Temperature
(°F)
|
81.9
|
76.3
|
78.4
|
84
|
87.2
|
88.4
|
What is the regression equation?
y= +. x
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 ?
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.
The first variable should have been the dependent variable.
C.
It is only an approximation. An unrounded value would be considered accurate.
D.
Nothing is wrong with this value. It can be treated as an accurate prediction.
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