Final Flashcards

1
Q

A cross-sectional data set consists of…

A

observations on a variable or several variables taken at a given point in time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

A time series data set consists of…

A

observations on a variable or several variables over time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Econometrics is the branch of economics that…

A

develops and uses statistical methods for estimating economic relationships

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is correlation coefficient?

A

A natural measure of the association between two random variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

In general, the _____ that produces the smallest sum of squared deviations is always the _______

A

constant, sample average

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

True or false: standard errors must always be positive

A

True

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the general t-statistic formula?

A

t = (estimate - hypothesized value) / standard error

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What is the significance level of a test?

A

the probability of rejecting the null hypothesis when it is true

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

When is a quadratic regression used?

A

used when a numerical predictor has a curvilinear relationship with the response

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is true about extrapolation?

A

can give bad predictions if the conditions do not hold outside the observed range of X’s

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is multicollinearity?

A

Problem that can occur when the information provided by several predictors overlaps

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What is R2?

A

Proportion of the variability in the dependent variable explained by the regression model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

When are dummy variables used?

A

Used in a regression model to represent categorical variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is a fitted equation?

A

Estimated regression line

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is interaction?

A

Used when the effect of a predictor on the response depends on other predictors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is conditional probability?

A

P(A|B) = Probability of A and B occurring / Probability of B occurring

16
Q

What is the Bayes Theorem?

A

P(A|B) = (Probability of A and B occurring * Probability of A occurring) / Probability of B occurring

17
Q

What is the difference between continuous and discrete random sampling?

A

Continuous probability is measured over intervals, while discrete probability is calculated on exact points

18
Q

what is the formula to find the slope parameter?

A

sum of (Xi - Xbar(Yi - Ybar) / sum of (Xi - Xbar)^2

19
Q

what does xbar or ybar mean?

A

estimate of x or y using the regression line

20
Q

How is B0 interpreted?

A

it is the expected value of Y when X = 0

21
Q

How is B1 interpreted?

A

represents the changes in E(Y|X) w.r.t. changes in X

22
Q

What is the B1 formula?

A

COV(Y, X) / Var(X)

23
Q

What is the B0 formula?

A

E(Y) - B1E(X)