Calculate the least squares regression line for a set of data points.
The Linear Regression Calculator computes the least squares regression line for a set of data points, allowing you to understand the relationship between two variables and make predictions.
Linear regression is a statistical method used to model the relationship between a dependent variable (Y) and one independent variable (X) by fitting a linear equation to observed data.
The regression line equation is represented as:
\( Y = b_0 + b_1 X \)
Where:
\( Y \) = Dependent variable
\( X \) = Independent variable
\( b_0 \) = Intercept of the regression line
\( b_1 \) = Slope of the regression line
The slope (\( b_1 \)) and intercept (\( b_0 \)) are calculated using the following formulas:
\( b_1 = \frac{\sum (X_i - \bar{X})(Y_i - \bar{Y})}{\sum (X_i - \bar{X})^2} \)
\( b_0 = \bar{Y} - b_1 \bar{X} \)
Where:
\( X_i, Y_i \) = Individual data points
\( \bar{X}, \bar{Y} \) = Means of X and Y
The slope (\( b_1 \)) of the regression line indicates the change in the dependent variable (Y) for a one-unit change in the independent variable (X). It represents the strength and direction of the relationship.
The least squares regression line minimizes the sum of the squares of the vertical distances of the points from the line. It provides the best fit for the data.
While this calculator focuses on simple linear regression with one independent variable, multiple linear regression involves two or more independent variables. For multiple regression analysis, specialized statistical software or calculators are recommended.
Linear regression is widely used in various fields:
Reference this content, page, or tool as:
"Linear Regression Calculator" at https://MiniWebtool.com/linear-regression-calculator/ from MiniWebtool, https://MiniWebtool.com/
by miniwebtool team. Updated: Nov 04, 2024
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