Regression Calculator Online
Calculate linear regression and other statistical regressions to find relationships between variables and predict future values. This powerful analysis tool helps researchers, analysts, and students identify trends and make data-driven predictions.
Slope: N/A
Intercept: N/A
Understanding Regression Analysis
Regression analysis is a statistical method used to examine the relationship between dependent and independent variables. The most common form is linear regression, which establishes a linear relationship between variables and helps predict unknown values based on known data points.
By calculating the regression line (or "line of best fit"), this technique minimizes the sum of squared differences between observed and predicted values, providing insight into how variables influence each other.
Formula
y = mx + b
- y: Dependent variable (predicted value)
- x: Independent variable
- m: Slope of the regression line
- b: y-intercept (value of y when x = 0)
Typical Use Cases
- Economics: Forecasting trends and analyzing market factors
- Science: Analyzing experimental data and identifying relationships
- Business: Sales forecasting and budget planning
- Healthcare: Predicting patient outcomes based on treatment variables
- Environmental Science: Analyzing climate data and predicting trends