A regression Assignment | Professional Writing Services

The fleet manager of a trucking company is trying to improve his pricing policy and has been

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investigating the amount spent on gasoline. He would like to determine if there is a linear relationship

between the weight of a loaded truck and gas mileage. The following information was collected where x

is the weight of a loaded vehicle in hundreds of pounds and y is the miles per gallon.

x 26 35 29 39 20

y 22.0 16.1 18.8 15.7 23.4

a) SPSS or Excel to scatter plot for this data. , the Insert Menu for the scatterplot

and Add Trend Line for the regression line.


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b) get the correlation for these two variables, show the regression line and the equation on the


c) If the weight of a vehicle is 32, what do you predict the gas mileage will be?

d) Should there be a gasoline surcharge for vehicles that weigh more than 3200 pounds? Justify

using the findings of parts a, b, and c.


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2. In Problem 3 of Part 2, there are two data sets consisting of BMI and percent body fat.

regression analysis to see if body fat percentage is a good predictor of BMI. Use SPSS or Excel

and be sure to include the following:

a) A scatterplot. , use the Insert Menu for the scatterplot and Add Trend Line for the regression


b) A correlation measure r. , use Excel function CORREL

c) The graph of the regression line on the scatterplot , Add a trend line to the Scatterplot

d) The regression equation. , include the equation option when adding the trend line

e) state how well body fat works as a predictor of BMI


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