Cross Sectional Linear Regression Exam Questions and answers
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Course
Cross Sectional Linear Regression
Institution
Cross Sectional Linear Regression
Cross Sectional Linear Regression Exam Questions and answers
5 Classical Linear Assumptions - AnswersLinearity, Random Sampling, no perfect collinearity, zero conditional mean, homoskedasticity
6th Linear Assumption - Answerserrors are normally distributed
What proves 6th linear assu...
Cross Sectional Linear Regression Exam
Questions and answers
5 Classical Linear Assumptions - Answers✓✓Linearity, Random Sampling, no perfect
collinearity, zero conditional mean, homoskedasticity
6th Linear Assumption - Answers✓✓errors are normally distributed
What proves 6th linear assumption - Answers✓✓central limit theorem - for large n. Although
this is weak as the error distribution depends on the number of factors in u and their individual
distribution. Also Assumes all u affect y in a different way
Unbiased estimator of variance - Answers✓✓SSR / n-2
test statistic formula - Answers✓✓(Estimated - Parameter) / (Standard deviation of estimated)
Degrees of Freedom for a t stat - Answers✓✓n-k-1
What is p-value show - Answers✓✓prob of observing a t stat as extreme as the Ho if the Ho
were true
what is interpretation of a quadratic term - Answers✓✓differentiate wrt to it
change in y wrt to the change in x
How do we obtain OLSE - Answers✓✓minimise RSS
what if want to examine combined effect of two parameters - Answers✓✓ceteris paribus all else
and add the coefficients together
Relationship between fitted values and residuals - Answers✓✓sample cov = 0
What is the Frisch-Waugh Theorem? - Answers✓✓the coefficient measures the sample
relationship between y and the parameter after the other parameters have been partialled out
What if the regression runs through the origin - Answers✓✓the R squared could be negative
= the sample average explains more of variation in y than the explanatory variables
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