مقرر 332 إحص ( تحليل الانحدار) Regression Analysis

1.  Course Description

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 using both classical and matrices approaches, 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. Model diagnostics and transformations. Model validity and model selection. Applications to some real data sets using the statistical packages.