OLS
Notation
Assumptions
Terminology
Numbers
100

OLS stands for.

What is Ordinary Least Squares?

100

Residual

What is e?

100

Most unusual assumption name.

What is homoskedasticity?

100

Y

What is the dependent variable?

100

Number of observations.

What is n?

200

Minimize this.

What is the sum of the residuals squared?

200

Population line LHS.

What is E[Y|X]?

200

Extra assumption not needed for Gauss Markov Theorem.

What is u distributed normally?

200

u

What is the error or disturbance?

200

Refer to the 5th observation.

What is i=5?

300

What is ordinary about OLS.

What is the residuals are each given a weight of one?

300

Sample line LHS.

What is Y hat?

300

E[u|X]=0 called this.

What is the zero conditional mean assumption?

300

b0

What is the estimated intercept?

300

Number of RHS variables.

What is k?

400

The R command to get R to estimate OLS.

What is lm?

400

se(bj)

What is standard error of the coefficient.

400

Linear in this.

What are parameters?


400

b1...bk

What are estimated slope coefficients?

400

Measure of goodness of fit.

What is the R-square?

500

In addition to least squares, one other method is called this.

What is Maximum Likelihood or Method of Moments?

500

Standard error of the estimate.

What is se(e)?

500

Color of Gauss-Markov Theorem.

What is blue?

500

b0, b1, .... bk.

What are estimated coefficients?

500

Number of RHS parameters to estimate.

What is k+1?

M
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n
u