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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 Temperature (°F) 1129 935 922 1192 1013 1235 O 84.3 81.6 74.4 91.7 81.9 89 What is the regression equation? y=D+x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) 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 (Round to one decimal place as needed.) d. What is wrong with this predicted value? Choose the c answer below. orrect O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. O C. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction. -extel Click to select your answer(s).

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) 1129 935 922 1192 1013 1235 O 84.3 81.6 74.4 91.7 81.9 89 What is the regression equation? y=D+x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) 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 (Round to one decimal place as needed.) d. What is wrong with this predicted value? Choose the c answer below. orrect O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. O C. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction. -extel Click to select your answer(s).

MATLAB: An Introduction with Applications
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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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) 1129 935 922 1192 1013 1235 O 84.3 81.6 74.4 91.7 81.9 89 What is the regression equation? y=D+x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) 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 (Round to one decimal place as needed.) d. What is wrong with this predicted value? Choose the c answer below. orrect O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. O C. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction. -extel Click to select your answer(s).
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 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) 1129 935 922 1192 1013 1235 O 84.3 81.6 74.4 91.7 81.9 89 What is the regression equation? y=D+x (Round the x-coefficient to four decimal places as needed. Round the constant to two decimal places as needed.) 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 (Round to one decimal place as needed.) d. What is wrong with this predicted value? Choose the c answer below. orrect O A. It is unrealistically high. The value 3000 is far outside of the range of observed values. O B. The first variable should have been the dependent variable. O C. It is only an approximation. An unrounded value would be considered accurate. O D. Nothing is wrong with this value. It can be treated as an accurate prediction. -extel Click to select your answer(s).
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