The three models — function, econometric model, and OLS

What is econometrics?

Data types and structure

Unit 1 checkpoint

Centre and spread — mean, variance, and standard deviation

The coefficient of variation — comparing dispersion across scales

Covariance and correlation — measuring how two variables move together

The one-sample t-test — testing a claim about a population mean

The two-sample t-test — comparing two group means

The chi-square goodness-of-fit test — do observed frequencies match what we expect?

Unit 2 checkpoint — descriptive statistics and hypothesis testing on one dataset

What is an estimator?

Bias and the MSE method

Variance of a linear combination

Unit checkpoint: Estimators & Their Properties

The simple regression model and its assumptions

Computing the OLS coefficients by hand

R-squared — how much does the model explain?

Interpreting the line — the B0, B1, and R² templates

Prediction and the incremental effect

Unit 4 checkpoint — estimate, interpret, and predict

Why transform? The case for logarithms

The four functional forms — interpreting B1 when logs are involved

The multiple regression model — adding explanatory variables

Interpreting the MLRM — ceteris-paribus templates and incremental effects

Unit 5 checkpoint — transformations and multiple regression

Integrator — describe the data, estimate the line, and interpret the result

Integrator — estimator properties, MSE, and functional-form interpretation

Practice mid-term A — Arko Apparel

Practice mid-term B — Priamo Hotels