Write an overview of correlation and regression analysis

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Reference no: EM131251463

Multiple Regression Analysis -

1. Write an overview of correlation and regression analysis (3-4 pages) with references

2. Construct a multiple regression model using data in "Census data by neighborhood")

The data set contains a large number of variables for 333 neighborhoods, from the 2011 census. Select 8 census variables as independents and treat "average house value" as the dependent, to construct a regression equation. (See the "Census variable definition" document) 

Suggested steps:

1) Select 8 variables as independents; explain in what way you believe they influence house value in a neighborhood

2) Perform a correlation analysis to check collinearity of the 8 chosen variables. If some of them a highly correlated, provide your explanations.

3) Use Stepwise Multiple Regression method to construct a regression model (i.e., generate a regression equation)

4) Interpret the model

5) Assess/verify the model

6) Use the model to predict the average house value for the neighborhood assigned to you in the following table.

Neighborhood

Student

Oakville - 2

 

Mississauga - 7

 

Lawrence Park South

 

Rosedale-Moore Park

 

Kingsway South

 

Forest Hill South

 

Markham - 20

 

Mississauga - 8

 

Mississauga - 20

 

Vaughan - 6

 

St.Andrew-Windfields

 

Lawrence Park North

 

Mississauga - 5

 

Vaughan - 3

 

Bedford Park-Nortown

 

Casa Loma

 

Princess-Rosethorn

 

Leaside-Bennington

 

Oakville - 11

 

Richmond Hill - 6

 

Attachment:- Assignment.rar

Reference no: EM131251463

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len1251463

10/21/2016 7:01:17 AM

Does the assignment answer all parts of number 2 properly? Does the model predict the average house value of Richmond Hill - 6? If so, how? Perform a correlation analysis to check collinearity of the 8 chosen variables. If some of them a highly correlated, provide your explanations.

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