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Assignment Description

Assignment 3 – 20 Points


Data found in Assignment 3 Data excel file.


Deliverable 1 (5 points):

A consumer organization is trying to determine the factors that impact the price of circular saws. The three factors under consideration are the weight, amps used, and cutting depth.

1. Perform regression analysis to determine how the three variables affect the price. Write out the equation of the final model. Be sure to show the regression tables and decisions made to reach the final model. Use Alpha = .01 to determine variables to remove from model.

2. Would you use this model? Why or why not?

3. If a new saw introduced to the market has a weight of 11 pounds, uses 11 amps, and has a cutting depth of 2.3 inches, what is your prediction of selling price?


Deliverable 2 (5 points):

An NBA coach is analyzing statistics for all 29 NBA teams from the prior season. The statistics are team winning percentage, team field goal percentage, opposing team field goal percentage, team three point shooting percentage, opposing team three point shooting percentage, and opposing team turnovers per game.

1. Perform regression analysis to determine how the five variables affect the team winning percentage. Write out the equation of the final model. Be sure to show the regression tables and decisions made to reach the final model. Use Alpha = .025 to determine variables to remove from model.

2. Would you use this model? Why or why not?

3. What advice would you give the coach for the upcoming season? (Be brief, this is not an essay.)


Deliverable 3 (10 points):

We wish to determine the impact of Specification Buying, X11, on Satisfaction Level, X10. To do so we will split the Hatco data file into two separate data sets based on the Specification Buying, X11. This variable has two categories: 

1=employs total value analysis approach, evaluating each purchase separately;

0 = use of specification buying.


Sort the entire Hatco data set based on Specification Buying. This will create two separate groups of records. Those records with X11 = 0 and those records with X11 = 1. Treat these as two distinct data sets.


For the 2 data sets,  X11 = 0 and X11 = 1, perform regression analysis on Satisfaction Level X10 as a function of the first seven variables (Delivery Speed, Price Level, Price Flexibility, Manufacturer Image, Service, Salesforce Image, Product Quality). Use Alpha = .01 to determine variables to remove from model.

For X11 = 0 and X11 = 1:

Compare the two models and explain the differences between the two models. From a business perspective, why do they differ?



Submit your assignment using the Assignments folder.  The file name should follow the format:

                        Your-last-name Assgn3.xlxs

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