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A regression was done for 20 cities with latitude as the explanatory variable (x) and average January temperature as the response variable (y). The latitude is measured in degrees and average January temperature in degrees Fahrenheit. The latitudes ranged from 26 (Miami) to 47 (Duluth) The regression equation is $\hat{y}$ = 49.4 - 0.313x
-Mexico City has latitude 20 degrees. What is the problem with using the regression equation to estimate the average January temperature for Mexico City?

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Use the following information for questions:
 A regression was done for 20 cities with latitude as the explanatory variable (x) and average January temperature as the response variable (y). The latitude is measured in degrees and average January temperature in degrees Fahrenheit. The latitudes ranged from 26 (Miami) to 47 (Duluth) The regression equation is $\hat{y}$ = 49.4 - 0.313x
-Mexico City has latitude 20 degrees. What is the problem with using the regression equation to estimate the average January temperature for Mexico City?

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The Answer of Use the following information for questions:
 A regression was done for 20 cities with latitude as the explanatory variable (x) and average January temperature as the response variable (y). The latitude is measured in degrees and average January temperature in degrees Fahrenheit. The latitudes ranged from 26 (Miami) to 47 (Duluth) The regression equation is $\hat{y}$ = 49.4 - 0.313x
-Mexico City has latitude 20 degrees. What is the problem with using the regression equation to estimate the average January temperature for Mexico City?

Use the Following Information for Questions: a Regression Was y^\hat{y}y^​

Use the Following Information for Questions:
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