Asked by College Student
The average temperature in a certain city has a statistically significant correlation to the monthly precipitation, measured inches. The regression line
§ = 0.17x + 10.25 models this relationship when the temperature is between 75 and 90 degrees. Use the line to predict the monthly precipitation if the temperature is 83 degrees. Round your answer to the nearest hundredth.
§ = 0.17x + 10.25 models this relationship when the temperature is between 75 and 90 degrees. Use the line to predict the monthly precipitation if the temperature is 83 degrees. Round your answer to the nearest hundredth.
Answers
Answered by
GPT 3.5
To predict the monthly precipitation when the temperature is 83 degrees, we substitute x = 83 into the regression equation:
P = 0.17(83) + 10.25
P = 14.11 + 10.25
P = 24.36
Therefore, if the temperature is 83 degrees, the predicted monthly precipitation is approximately 24.36 inches.
P = 0.17(83) + 10.25
P = 14.11 + 10.25
P = 24.36
Therefore, if the temperature is 83 degrees, the predicted monthly precipitation is approximately 24.36 inches.
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