Posted: April 14th, 2022

Instructions: Please submit your work in one single Excel file with one tab/worksheet for each problem.

Directions: Please submit your work in one single Excel file with one tab/worksheet for each drawback.

Easy Linear Regression, Residual Assessment and Regression Assumptions

1. (30 factors) The Excel file Nationwide Soccer League supplies numerous information on skilled soccer for one season.

a. Assemble a scatter diagram for factors/recreation and yards/recreation in the Excel file. Does there look like a linear relationship?

b. Use the Regression device to develop a mannequin for predicting factors/recreation as a operate of yards/recreation. Clarify the statistical significance of the mannequin and worth.

c. Analyze the residuals to find out if the assumptions underlying the regression Assessment are legitimate. As well as, use the usual residuals to find out if any attainable outliers exist.

Constructing Good Regression Fashions

2. (40 factors) Use the info in the Excel file Job Satisfaction to seek out the most effective a number of regression mannequin to foretell the general satisfaction as a operate of the opposite variables.

a. Present your steps to construct the most effective regression mannequin.

b. What managerial implications does your end result have?

Regression with Categorical Unbiased Variables

three. (30 factors) A nationwide homebuilder builds single-family properties and condominium-style townhouses. The Excel file Home Gross sales supplies data on the promoting value, lot price, kind of dwelling, and area of the nation (M = Midwest, S = South) for closings throughout on month.

a. Develop a a number of regression mannequin for gross sales value as a operate of lot price and kind of dwelling with none interplay time period.

b. Decide if an interplay exists between lot price and kind of dwelling and discover the most effective mannequin.

c. What’s the predicted value for both a single-family dwelling or a townhouse with rather a lot price of $30,000?

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Please submit your work in a single Excel file with one tab/worksheet for each drawback.

Regression Assumptions, Residual Assessment, and Easy Linear Regression

1. Formalized paraphrase (30 factors) The Nationwide Soccer League Excel file accommodates numerous information on skilled soccer for a single season.

a. Within the Excel file, create a scatter diagram for factors/recreation and yards/recreation. Is there a transparent linear relationship?

b. Utilizing the Regression device, create a mannequin for predicting factors per recreation as a operate of yards per recreation. Clarify the mannequin’s and worth’s statistical significance.

c. Analyze the residuals to find out if the assumptions underlying the regression Assessment are legitimate. As well as, use the usual residuals to find out if any attainable outliers exist.

Constructing Good Regression Fashions

2. (40 factors) Use

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