Linear Regression Calculator

Perform linear regression analysis on a set of data points.

Frequently Asked Questions (FAQs):

1. What is linear regression, and why is it important?
   • Linear regression is a statistical technique used to model the relationship between two variables by fitting a straight line through the data points. It’s essential in data analysis for predicting outcomes and understanding correlations.
2. What is the formula for linear regression?
   • The formula for a simple linear regression line, which models the relationship between the dependent variable Y and the independent variable X, is:
   
   • Where intercept is the y-intercept of the line, slope is the slope of the line, and X represents the independent variable.
3. How do I interpret linear regression results?
   • Linear regression provides insights into the strength and direction of the relationship between variables. The slope indicates the change in the dependent variable for a unit change in the independent variable. The intercept represents the expected value of the dependent variable when the independent variable is 0.