Regression Modeling with Minitab (Module #2) – Interpretation of Data Sets

Through this course you will learn about introduction to regression modeling, identify independent variable, regression equation and tabulating the values, interpretation and implementation on data sets, significant variable, calculating corresponding values

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 2h 5m | 19 Videos | 62744 Views |   Intermediate| English[Auto-generated]

Regression Modeling with Minitab (Module #2) – Interpretation of Data Sets:

Regression modeling forms the core of Predictive modeling course. The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions. The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model.

Through this course you will learn about introduction to regression modeling, identify independent variable, regression equation and tabulating the values, interpretation and implementation on data sets, significant variable, calculating corresponding values, identify dependent variable, generate descriptive statistics, scatterplot of energy consumption, identity equation, p – value and t – value, changes in tem. and expansion, objective of stock prices, interpretations of example 5, reliance return change, generate predicted values, scatterplot return RIL, calculating iv – linear regression.

Target Customers:

• Students
• Quantitative and Predictive Modelers and Professionals
• CFA’s and Equity Research professionals
• Pharms and research scientists

Pre-Requisites:

• Prior knowledge of Quantitative Methods
• MS Office and Paint is desired.