Scatter Plot with Fitted Curves
linear (R²=0.9992)quadratic (R²=0.9993)cubic (R²=0.9994)exponential (R²=0.8820)logarithmic (R²=0.9151)power (R²=0.9992)
Data Input
Model Comparison
linearR² = 0.9992
y = -0.02143 + 2.013x
quadraticR² = 0.9993
y = 0.1125 + 1.933x + 0.008929x^2
cubic (best)R² = 0.9994
y = -0.1 + 2.154x + -0.04903x^2 + 0.004293x^3
exponentialR² = 0.8820
y = 2.191e^{0.2752x}
logarithmicR² = 0.9151
y = 0.1446 + 6.709ln(x)
powerR² = 0.9992
y = 2.01x^{0.9992}
Predictions at x = 10
linear20.11
quadratic20.33
cubic20.83
exponential34.34
logarithmic15.59
power20.07
Step-by-Step
1. Linear regression (least squares)
2. Slope and intercept
3. Linear equation
4. Best fit model
Reference Guide
Free regression calculator. Fit linear, quadratic, cubic, exponential, logarithmic, and power models to data. Compare R-squared values and predict new values.
Least Squares
primary
R-Squared
secondary
Model Selection
tertiary
Prediction