Instructional Video14:42
Curated Video

Statistics for Data Science and Business Analysis - Practical Example: Regression Analysis

Higher Ed
This video shows a practical example of regression analysis. This clip is from the chapter "Practical Example: Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains about regression...
Instructional Video3:23
Curated Video

Statistics for Data Science and Business Analysis - A5. No Multicollinearity

Higher Ed
This video is about the final assumption—no multicollinearity. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains OLS...
Instructional Video16:10
Curated Video

Practical Data Science using Python - Linear Regression - Practical Approach

Higher Ed
This video explains linear regression - practical approach. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
Instructional Video13:54
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - SAS Studio/SAS OnDemand for Academics – Register, Upload, Run Code

Higher Ed
This video helps you with SAS Studio/SAS OnDemand for academics. You will register, upload, and run code using SAS studio. This clip is from the chapter "Introduction to the Course" of the series "Complete SAS Programming Guide - Learn...
Instructional Video5:20
Curated Video

Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Multicollinearity

Higher Ed
This video explains multicollinearity. This clip is from the chapter "SAS Predictive Modeling, Prepare the Input Variables" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on SAS...
Instructional Video2:12
Curated Video

Statistics for Data Science and Business Analysis - OLS Assumptions

Higher Ed
This video explains OLS assumptions in detail. This clip is from the chapter "Assumptions for Linear Regression Analysis" of the series "Statistics for Data Science and Business Analysis".This section explains OLS assumptions, A1....