NitroFlare Regression Analysis by by Quantitative Specialists

Discussion in 'E-Books & Tutorials' started by kocogi, Jan 6, 2016.

  1. kocogi

    kocogi Active Member

    May 29, 2012
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    Regression Analysis by by Quantitative Specialists
    WEBRip | MP4/AVC, ~690 kb/s | 1280 x 720| English: AAC, 66.2 kb/s (2 ch), 44.1 KHz | 643 MB
    Genre: Business / Data & Analytics | Language: English | +Project Files

    Regression Data Analytics with SPSS and Microsoft Excel
    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. We also explore R-Square in depth, including how to interpret R-Square for significance. Together with in-depth coverage of simple, multiple and hierarchical regression, we'll also explore correlation, which is closely related to regression analysis. By 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. Examples of running regression in both SPSS and Excel provided. Lectures provided in HD video with course quizzes also provided. Taught by a PhD award-winning university instructor with over 15 years of teaching experience. While you can be confident that you are getting accurate information with Quantitative Specialists, we also make it our highest priority in creating crystal-clear, easy-to-follow videos. Be confused by regression no longer - Enroll Today!

    What are the requirements?
    Many of the videos use SPSS in running regression models and some use the 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 required. 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).
    What am I going to get from this course?
    Over 16 lectures and 2 hours of content!Understand when to use simple, multiple, and hierarchical regressionUnderstand the meaning of R-Square and the role it plays in regressionAssess a regression model for statistical significance, including both the overall model and the individual predictorsEffectively utilize regression models in your own work and be able to critically evaluate the work of othersUnderstand predicted values and their role in the overall quality of a regression modelUnderstand hierarchical regression, including its purpose and when it should be usedUse regression for assessing the relative value of competing predictorsMake business decisions about the best models to maximize profits while minimizing riskLearn how to conduct correlation and regression using both IBM SPSS and Microsoft Excel
    What is the target audience?
    Anyone interested in learning more about regression analysis.It is not for those looking for an 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.)

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