Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.
Explores linear regression, least squares, residuals, and confidence intervals in regression models.
Covers the basics of linear regression, OLS method, predicted values, residuals, matrix notation, goodness-of-fit, hypothesis testing, and confidence intervals.
Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
