Use the sample estimated regression equation to compute the predicted the mean sales per day in dollars per 100,000 residents in a city with a mean atmospheric temperature of 83 degrees Fahrenheit in July.
Freshcrim specializes in the sales of ice cream from street trolleys in the centers of many cities. Some factors
that may determine the sales of ice cream are: the atmospheric temperature, the location of the trolley, the
rain and the humidity. However, there exists a hypothesis that the sales of ice cream during the summer are
significantly
atmospheric temperature and Y : the sales. They considered the month of July of this year in a random
sample of 30 cities. For each city in the sample, let x be the mean temperature in degrees Fahrenheit and y
the mean sales per day in dollars per 100,000 residents. The data are given below. A regression model was
run, with Y as the dependent variable and X as the independent variable.
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