Fit a line of best fit to paired data and find its slope, intercept, and correlation. Enter the x and y values as two lists.
Best-Fit Line
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Least-squares fit.Usage Tip
An r near plus or minus 1 means points hug the line; near 0 means little linear relationship. Correlation is not causation.
THE MATH
slope = covariance of x and y ÷ variance of x
intercept = mean y − slope × mean x
intercept = mean y − slope × mean x
Linear regression finds the straight line that best predicts y from x by least squares.
The correlation coefficient r, from −1 to 1, measures how strong and in which direction the relationship is.
The correlation coefficient r, from −1 to 1, measures how strong and in which direction the relationship is.
Enter two equal-length lists of numbers.
The slope, intercept, and correlation r are reported.
r squared is the share of variation in y explained by x.
The slope, intercept, and correlation r are reported.
r squared is the share of variation in y explained by x.