OLS stands for.
What is Ordinary Least Squares?
Residual
What is e?
Most unusual assumption name.
What is homoskedasticity?
Y
What is the dependent variable?
Number of observations.
What is n?
Minimize this.
What is the sum of the residuals squared?
Population line LHS.
What is E[Y|X]?
Extra assumption not needed for Gauss Markov Theorem.
What is u distributed normally?
u
What is the error or disturbance?
Refer to the 5th observation.
What is i=5?
What is ordinary about OLS.
What is the residuals are each given a weight of one?
Sample line LHS.
What is Y hat?
E[u|X]=0 called this.
What is the zero conditional mean assumption?
b0
What is the estimated intercept?
Number of RHS variables.
What is k?
The R command to get R to estimate OLS.
What is lm?
se(bj)
What is standard error of the coefficient.
Linear in this.
What are parameters?
b1...bk
What are estimated slope coefficients?
Measure of goodness of fit.
What is the R-square?
In addition to least squares, one other method is called this.
What is Maximum Likelihood or Method of Moments?
Standard error of the estimate.
What is se(e)?
Color of Gauss-Markov Theorem.
What is blue?
b0, b1, .... bk.
What are estimated coefficients?
Number of RHS parameters to estimate.
What is k+1?