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 1099 771 875 866 1199 778 Temperature (°F) 83.9 70.5 72.9 71.2 88.5 67.8 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.) 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.) What is wrong with this predicted value? Choose the correct answer below. A. It is only an approximation. An unrounded value would be considered accurate. B. The first variable should have been the dependent variable. C. It is unrealistically high. The value 3000 is far outside of the range of observed values. D. Nothing is wrong with this value. It can be treated as an accurate prediction.
Added by Nina M.
Step 1
First, we need to find the regression equation using the given data. To do this, we need to calculate the mean of the x values (chirps per minute) and the mean of the y values (temperature in °F). Mean of x values (chirps per minute): (1099 + 771 + 875 + 866 + Show more…
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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 made in 1 minute 1052 806 851 1214 879 1023 Temperature (°F) 80.3 72 73.4 90.5 72.3 76.4 What is the regression equation? ŷ = [] + []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? ŷ ≈ [] °F (Round to one decimal place as needed.) 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.
Jerelyn N.
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: 1205, 1041, 1085, 1228, 912, 1217. Temperature (°F): 90.2, 85.2, 84.5, 89.6, 75.9, 86. 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.) What is wrong with this predicted value? Choose the correct answer below. A. It is only an approximation. An unrounded value would be considered accurate. B. It is unrealistically high. The value 3000 is far outside of the range of observed values. 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.
Donna D.
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: 882 764 870 957 935 860 Temperature (°F): 76.8 64.5 72.3 81.7 71.9 74.7 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.) 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.) 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.
Sri K.
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