About this course:
Free download Regression Analysis / Data Analytics in Regression, you can download this course Regression Analysis / Data Analytics in Regression if you want to learn how to Gain Important and Highly Marketable Skills in Regression Analysis - Tame the Regression Beast Today!. You will get 17 high quality recorded videos compressed in a zip file so it will be easy to download the whole course Regression Analysis / Data Analytics in Regression with a single click, explained in English. Many users are already getting benefits from this course, so don't hesitate to download it and start learning now, it is completely free to download and use. You can start downloading Regression Analysis / Data Analytics in Regression by clicking on the link below.
Before you can start learning from this course explained in English (US) you need to have Many of the videos use SPSS in running regression models and some use the Microsfot Excel Data Analysis ToolPak While SPSS is not required to understand the material or follow the videos, if you want to reproduce the analyses on your own, SPSS will be needed However, other software (such as R, SAS, or Minitab) can be used to reach the same statistical decisions about the regressions models (as are illustrated here).
Regression Analysis / Data Analytics in Regression is targeting for people that have interset in Anyone interested in learning more about regression analysis, This course is not for those looking for a general introduction to statistics course For this we recommend taking a look at our descriptive statistics or inferential statistics courses (This course specializes in regression analysis), Those looking to increase their knowledge of regression.
Finally you will learn how to Understand when to use simple, multiple, and hierarchical regression, Understand the meaning of R-Square and the role it plays in regression, Assess a regression model for statistical significance, including both the overall model and the individual predictors, Effectively utilize regression models in your own work and be able to critically evaluate the work of others, Understand predicted values and their role in the overall quality of a regression model, Understand hierarchical regression, including its purpose and when it should be used, Use regression to assess the relative value of competing predictors, Make business decisions about the best models to maximize profits while minimizing risk, Critically evaluate regression models used by others, Learn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel.