Perform a durbin-watson test for autocorrelation

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APPLIED ECONOMIC ANALYSIS

Assignment- 1

The data file "Auction Price" contains data on auction prices of antique clocks, the age of the clocks, and the number of bidders.

Estimate the following regression and comment on the values of the coefficients:

Pricei = β1 + β2Agei + β3 Ni + ui

Where Nis the number of bidders.

Comment on the signs and values of the coefficients.

Comment on whether Age and N individually influence the auction price.

What does the R2 represent?

What does the R‾2 represent?

Test the overall significance of the regression.

2. Using the data from "Starting Pay" to answer the following questions:

(a) Run the following regression:

ASPi= β1 + β2 GPAi3 GMATi4 EMPi + β5Tuitioni + β6Ratingi + β7Accepti + ui

(b) Comment on the meaning of the values of the coefficients.

(c) Comment on whether each explanatory variable explains average starting pay.

(d) Comment on the presence of multicollinearity.

(e) Comment on the problems encountered, if any, with multicollinearity.

(f) Would you expect the ASP regression function to suffer from heteroscedasticity?

(g) Apply a diagnostic test to determine if the function does suffer from multicollinearity heteroscedasticity.

If it does, perform a remedial measure to correct for heteroscedasticity.

Use the data in the file "Stock Price Index" to answer the following questions:

Run the regression and comment on the estimate of the coefficient.

Graph the residuals and comment on evidence of autocorrelation.

Perform a Durbin-Watson test for autocorrelation.

If you have evidence of autocorrelation, what problem does this present?

If you have evidence of autocorrelation, use a remedial measure to correct for it.

Attachment:- Data.rar

Verified Expert

This task provides a clear working example on the regression analysis after testing the assumption of autocorrelation, heteroscedasticity and normality. It also explains the remedial measure if there exists autocorrelation and heteroscedasticity

Reference no: EM131356714

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