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Taught by a PhD award-winning university instructor with over 15 years of teaching experience.

Once you choose Regression, the following window should. Lectures provided in high quality, HD video with course quizzes available to help cement the concepts. To perform the Regression, go to Data Analysis Tools and select Regression from the available options. Examples of running regression in both SPSS and Excel programs provided. Together with coverage of simple, multiple and hierarchical regression, we'll also explore correlation, an important statistical procedure that is closely related to regression.īy the end of this course you will be skilled in running and interpreting your own linear regression analyses, as well as critically evaluating the work of others. R-Square is explored in depth, including how to interpret R-Square for significance. This course covers running and evaluating linear regression models (simple regression, multiple regression, and hierarchical regression), including assessing the overall quality of models and interpreting individual predictors for significance. In order to perform a regression analysis we choose from the Microsoft Excel menu: Tools Data analysis Regression Note that data analysis tool should have been previously added to Microsoft Excel during the program setup (Tools Add-Ins Analysis ToolPak). All course videos created and narrated by an award winning instructor and textbook author of quantitative methods. The Analysis Toolpak (now called the Data Analysis add-in) was originally written in the old Excel macro language and was introduced with Excel 4.0 in 1992, and. Get marketable and highly sought after skills in this course while substantially increasing your knowledge of data analytics in regression.

Data analysis excel regression