Lesson 1

Question 1

Regression Analysis

Answer 1

A statistical method to estimate cause-effect relationships.

Question 2

Confounding Factors

Answer 2

Variables that might influence both the cause and effect, leading to bias.

Question 3

Correlation

Answer 3

Measures linear relationship (range: -1 to 1).

Question 4

Unbiased Estimator

Answer 4

Estimator whose expected value = true value.

Question 5

Standard Error

Answer 5

Standard deviation of the estimator.

Question 6

Estimator

Answer 6

Formula used to calculate the sample statistic.

Question 7

Random Variable (RV)

Answer 7

outcome with probabilities (Discrete or Continuous)

Question 8

Expected Value (Mean)

Answer 8

probability-weighted average

Question 9

Variance / Standard Deviation

Answer 9

measure of spread

Question 10

Independence

Answer 10

one variable doesn’t affect the other

Question 11

describe (stata)

Answer 11

To overall describe the data and variables,

Question 12

summarize or sum (stata)

Answer 12

gives the overall statistics such
as mean, standard deviation, minimum, and maximum values of each variable.

Question 13

tab region (Stata)

Answer 13

To get the frequency
distribution table