In the context of regression, what does R-squared indicate?
Practice Questions
Q1
In the context of regression, what does R-squared indicate?
The proportion of variance explained by the model
The average error of predictions
The correlation between predicted and actual values
The number of features used in the model
Questions & Step-by-Step Solutions
In the context of regression, what does R-squared indicate?
Step 1: Understand that regression is a method used to predict a dependent variable based on one or more independent variables.
Step 2: Know that the dependent variable is what you are trying to predict, while independent variables are the factors that influence it.
Step 3: R-squared is a statistical measure that tells us how well the independent variables explain the variation in the dependent variable.
Step 4: R-squared values range from 0 to 1. A value of 0 means the independent variables do not explain any of the variation, while a value of 1 means they explain all the variation.
Step 5: If R-squared is, for example, 0.75, it means that 75% of the variation in the dependent variable can be explained by the independent variables.
