In regression analysis, what does R-squared indicate?
Practice Questions
Q1
In regression analysis, what does R-squared indicate?
The strength of the relationship between variables
The proportion of variance explained by the model
The accuracy of predictions
The number of features used in the model
Questions & Step-by-Step Solutions
In regression analysis, what does R-squared indicate?
Step 1: Understand that regression analysis is a way to see how one variable affects another.
Step 2: Identify the dependent variable, which is the outcome we want to predict.
Step 3: Identify the independent variables, which are the factors we think might influence the dependent variable.
Step 4: R-squared is a number that tells us how well our independent variables explain the changes in the dependent variable.
Step 5: R-squared ranges from 0 to 1. A value of 0 means the independent variables do not explain any of the variance in the dependent variable, while a value of 1 means they explain all of it.
Step 6: If R-squared is 0.8, it means 80% of the changes in the dependent variable can be explained by the independent variables.
