Regression Analysis - Stat 332

The course contains a various topics and techniques of Data Analysis using statistical software. It starts briefly with study of the simple linear regression model, and then moves widely to study the multiple linear regression model. It covers important topics that are commonly used in real-life applications, specifically Calculation of the estimated parameters of the regression model, Confidence Intervals, Hypotheses Testing, Sum of Squares (Regression, Error and Total), Coefficient of Determination and Correlation. All above is implemented using software R