Week 1 Flashcards
What are the different data types?
Give examples of the 3 different data types?
What is the linear regression model
What is the population regression line?
What is the error term?
What is the interpretation of the beta1?
What is the interpretation of beta0?
What is the interpretation of the error term?
Why do you need OLS?
What is OLS? And what is the formula?
df
What is the goal of OLS?
MATH: derive the OLS estimator?
MATH: show that the b1 estimator is equal to r_xy * (s_y / s_x)
What is the sample covariance?
What is the sample variance?
What is the sample correlation coefficient?
MATH: derive the estimators of the regression through the origin?
What is extrapolation?
What is TSS?
What is SSR?
What is ESS?
What is the formula for R^2?
What is the interpretation of R^2?
What does R^2=0 and =1 mean?
Why do we have Y^(-^) = Y^(-)
MATH: show that R^2=r_xy ^(2)
What is the implication of R^2=r_xy ^(2)?
What is the reason for this implication:
R^2=r_xy ^(2)
MATH: derive the R^2 in regression through the origin?`
What is the SER?
When is SER optimal?
The smaller and further it lies from the standdsrd deviation s_y
What is the formula of the SER?
What is the difference between the SER and the R^2?
What do the first order conditions imply?
