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Synopsis

This course aims to introduce the students to the concept of linear regression and demonstrate methods of conducting multiple linear regression analysis using SPSS. Hands-on learning activities are used to ensure the sustainability of learning among students.

Objective

By the end of this course, you will be able to:

1. Understand the Fundamentals of Multiple Linear Regression:

   • Define multiple linear regression and understand its key concepts.
   • Differentiate between simple and multiple linear regression models.
2. Perform Multiple Linear Regression Analysis Using SPSS:
   • Conduct multiple linear regression analyses in SPSS with ease.
   • Set up regression models and select the appropriate independent variables for analysis.

3. Interpret and Evaluate Regression Results:

   • Interpret SPSS output, including regression coefficients, R-squared values, and p-values.
   • Evaluate model assumptions and identify potential issues such as multicollinearity and heteroscedasticity.

4. Assess Model Fit and Significance:

   • Assess the overall fit of a regression model using statistical tests and diagnostic plots.
   • Determine the statistical significance of predictors and the quality of the model.

5. Communicate Findings Effectively:

   • Present and communicate regression results clearly, including the practical implications of the analysis.
   • Use visual aids (graphs, tables) to support findings and conclusions.

Learning Outcome