9:33AAwww-awn.aleks.comO REGRESSION AND CORRELATIONPredictions from the least-.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 degreesCoffee sales, y(in dollars)Fahrenheit)68.31787.638.92311.072.91684.0220058.81979.563.41816.4200075.81997.646.92131.771.01973.910038.72018.2140053.91597.545.91996.175.41501.050.92266.381.71574.5Figure 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 -2516.78 – 10.49.x. 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 are the mean of the coffee salesvalues.Choose one2. According to the regression equation, for an increase of one degreein 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.)?ExplanationCheckTerms of Use PrivacyI Accessibility 2. According to the regression equation, for an increase of one degreein 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.)

1. For these data temperature values that are greater than the mean of the temperature values tend…

2. According to the regression equation, for an increase of one degree in temperature, there is a corresponding decrease of how many dollars in coffee sales? 3. What was the observed coffee sales value (in dollars) when the temperature was 68.3 degrees Fahrenheit? 4. From the regression equation, what is the predicted coffee sales value (in dollars) when the temperature is 68.3 degrees Fahrenheit? (Round your answer to at least one decimal place.)

2. According to the regression equation, for an increase of one degree in temperature, there is a corresponding decrease of how many dollars in coffee sales? 3. What was the observed coffee sales value (in dollars) when the temperature was 68.3 degrees Fahrenheit? 4. From the regression equation, what is the predicted coffee sales value (in dollars) when the temperature is 68.3 degrees Fahrenheit? (Round your answer to at least one decimal place.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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