Concordia University - ECON 222: Statistical Methods II (Solutions)

- ECON 222: Statistical Methods II at Concordia University is a continuation of ECON 221, focusing on hypothesis testing and the classical linear regression model. The course emphasizes the model's assumptions and the properties and interpretation of the estimates derived from it, as well as addressing violations of its assumptions, the effects on the estimates, and steps to remedy these violations.

✔ (Summary) Main Areas of Focus -

• Hypothesis Testing: Hypothesis testing is a statistical method used to make decisions about population parameters based on sample data. This topic covers the steps involved in hypothesis testing, including setting up null and alternative hypotheses, calculating test statistics, and making decisions based on p-values or critical values.
• Simple Regression: Simple linear regression is a statistical technique that estimates the relationship between one independent variable and one dependent variable. This topic explores the properties and applications of simple linear regression, including the construction and interpretation of regression models.
• Multiple Regression: Multiple linear regression is a statistical technique that uses several independent variables to predict the outcome of a dependent variable. This topic covers the construction and interpretation of multiple regression models, as well as the assumptions and limitations of this method.
• Additional Topics in Regression Analysis: This part covers more advanced topics in regression analysis, such as the use of dummy variables, experimental design models, and the analysis of residuals for heteroscedasticity and autocorrelation.
• Time-Series Analysis & Forecasting: Time-series analysis involves the study of data collected over time to identify patterns, trends, and relationships. This topic covers various techniques for analyzing time-series data, as well as methods for forecasting future values based on historical data.