Use the graphical method to test the presence of heteroskedasticity in your data

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

1. Heteroskedasticity test

Assignment 1- Use the graphical method to test the presence of heteroskedasticity in your data 

Assignment 2- Using  park test to see the presence of heteroskedasticity 

Assignment 3- Use Glejser Test to test the presence of heteroskedasticity in your data.  Assignment 4-  Use Gold-feld Quandt test to check the presence of heteroskedasticity

Assignment 5- Use Breush-Pagan Test to check whether there is heteroskedasticity or not in your data. 

Assignment 6- Use white’s general heteroscedasticity test to check whether there is heteroskedasticity or not in your data. 

 

2. Detecting Autocorrelation or serial correlation

 

Assignment 7-  Use the graphical method to test the presence of Autocorrelation in your data

Assignment 8- Use the Runs test to detect the presence of autocorrelation. 

Assignment 9- Use Durbin-watson d test to detect the presence of autocorrelation. 

Assignment 10- Use Bruech-Godfrey test to check the presence of autocorrelation. 

 

 

3. Multicollinearity test

Assignment 11- looking at R-squared and t value, make your conclusion for multicollinearity. 

Assignment 12- Pair-wise correlations test for multicollinearity. 

Assignment 13- Perform an auxiliary regression and draw your conclusion on multicollinearity.

Assignment 14- Examination of partial correlations and draw your conclusion for multicollinearity

Assignment 15- Looking at the value of the condition index, this will be your conclusion for multicollinearity.

 

4. Specification Error

Assignment 16- Which will be your correct functional regression form using the Ramsey Reset test?

Attachments:

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