[ CourseBoat ] Udemy - Dummy Variables in Regression Analysis torrent

[ CourseBoat.com ] Dummy Variables in Regression Analysis

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 lectures (53m) | Size: 312.4 MB
A Beginner's Guide
What you'll learn:
Describe qualitative information appropriately through dummy variables
Incorporating dummy variables into multiple regression models
Key considerations when using dummy variables

Requirements
A little familiarity with linear multiple regression concepts (e.g. R-Square, coefficients, p-value)
Ability to perform a regression in some software package (e.g. SPSS or Microsoft Excel)

Description
Regression analysis is a flexible tool that can be adapted to suit different types of data. Using categorical variables as predictors increases the usefulness of regression models because we are often interested in addressing questions involving group differences. For instance, a marketing student may be interested in explaining how differences in race, gender, or region may affect customer attitude or behavior.

Unlike quantitative variables, the incorporation of qualitative explanatory variables in regression models requires a special type of variables known as dummy variables and a particular technique must be followed to quantitively represent the information appropriately.

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