Regression Analysis
Learning Outcomes
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What’s Included
Understanding Linear Regression
Understanding Linear Regression
In this lesson, you'll learn the basics of linear regression and how it can be applied.
Initial Data Investigation
Initial Data Investigation
In this lesson, we'll examine the use case data to determine what data could be used as predictor variables.
Converting Categorical Variables
Converting Categorical Variables
Learn how to convert categorical variables into a numeric format that can be interpreted by a linear regression model.
Splitting the Dataset
Splitting the Dataset
Learn how to use the Create Samples tool to randomly split your dataset into training and testing datasets.
Configuring Our Regression Model
Configuring Our Regression Model
Learn how to use tools that can automatically determine the optimal configuration of a regression model.
Understanding Regression Coefficients
Understanding Regression Coefficients
Learn how regression uses coefficients with the independent variables to make a prediction for the dependent variable.
Examining Regression Model Coefficients
Examining Regression Model Coefficients
Learn how to read the regression report in order to find the coefficients and to appraise their usefulness.
Evaluating the Model's Performance
Evaluating the Model's Performance
Read the model's report to gain an understanding of the model's predictive power.
Using ANOVA in Regression
Using ANOVA in Regression
Understand how ANOVA is used to determine the quality of the model's predictive performance.
Reading the ANOVA Analysis Table
Reading the ANOVA Analysis Table
Learn how to read the results of the type II ANOVA analysis in the regression output report.
Checking for Linear Relationships
Checking for Linear Relationships
Learn how to ensure that your model's predictor variables are suitably related to the dependent variable.
Checking for Multicollinearity
Checking for Multicollinearity
Check to see if your independent variables are overly correlated with each other.
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