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Linear regression is used to model the relationship between two variables and estimate the value of a response by using a line-of-best-fit. This calculator is built for simple linear regression, where only one predictor variable (X) and one response (Y) are used.
Directions: Record all your information on the graph below. Then drag the red line to find the LINE OF BEST FIT. Answer the questions below.
Wolfram|Alpha Widget: Line of Best Fit Calculator. Enter the data points (x, y) values: [Each pair should be enclosed in brackets separated by a comma] Calculate Line of Best Fit.
This simple linear regression calculator uses the least squares method to find the line of best fit for a set of paired data, allowing you to estimate the value of a dependent variable (Y) from a given independent variable (X).
This linear regression calculator computes the equation of the best fitting line from a sample of bivariate data and displays it on a graph.
Use this Linear Regression Calculator to find out the equation of the regression line along with the linear correlation coefficient. It also produces the scatter plot with the line of best fit.
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