Greater than or less than? 1. Fill in the blank: For these data, temperature values that aregreater than the mean of the temperature values tend to be pairedwith coffee sales values that areChoose onethe mean of the coffee salesvalues. Managers of an outdoor coffee stand in Coast City are examining therelationship between (hot) coffee sales and daily temperature, hoping tobe able to predict a day's total coffee sales from the maximumtemperature that day. The bivariate data values for the coffee sales(denoted by y, in dollars) and the maximum temperature (denoted by x,in degrees Fahrenheit) for each of fifteen randomly selected days duringthe past year are given below. These data are plotted in the scatter plotin Figure 1.Temperature, x(in degreesFahrenheit)Coffee sales, y(in dollars)68.31787.638.92311.0240072.91684.0220058.81979.563.41816.42000-75.81997.6180046.92131.771.01973.91600.38.72018.21400.53.91597.5120045.91996.175.41501.050.92266.381.71574.5Figure 145.51798.9Send data to ExcelAfter deciding on the appropriateness of a linear model relating coffeesales and maximum temperature, the managers calculate the equationof the least-squares regression line to be î=2516.78 – 10.49x. This is the lineshown in Figure 1.Answer the following:1. Fill in the blank: For these data, temperature values that aregreater than the mean of the temperature values tend to be pairedwith coffee sales values that arevalues.Choose onethe mean of the coffee salesf one degree2. According to the regression equation, for an increasein temperature, there is a corresponding decrease of how manydollars in coffee sales?3. What was the observed coffee sales value (in dollars) when thetemperature was 68.3 degrees Fahrenheit?4. From the regression equation, what is the predicted coffee salesvalue (in dollars) when the temperature is 68.3 degrees Fahrenheit?(Round your answer to at least one decimal place.)?

Question

Accepted Answer

Given:
Regression equation y^=2516.78-10.49x
From the scatter plot, we can say that there is a…

1. Fill in the blank: For these data, temperature values that are greater than the mean of the temperature values tend to be paired the mean of the coffee sales Choose one with coffee sales values that are values.