Scatter Plot Calculator with Linear Regression

Your details

Regression equationVery strong positive
y = 1.9429x - 0.1333

Best-fit line in the form y = mx + b

Slope (m)1.9429
Y-intercept (b)-0.1333
Pearson r0.9905
R-squared0.981
RMSE0.4612
Data points (n)6
x mean3.5
y mean6.6667
x std dev1.7078
y std dev3.35
Pearson r0.9905
R-squared0.981

Very strong positive correlation (r = 0.9905)

  • The correlation coefficient r = 0.9905, indicating a very strong positive linear relationship.
  • R-squared = 0.9810: the regression line explains 98.1% of the variation in y.
  • RMSE = 0.4612, the typical distance of a data point from the regression line in y-units.

Next stepCheck the scatter plot visually to confirm the relationship is truly linear before relying on the regression equation.

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