CCalcBOX
🌐JA
📈

回帰分析ツール

回帰分析【無料・オンライン】データを入力するだけで回帰直線・曲線を自動フィット。5モデル比較・R²値・残差プロット・予測値計算付き。統計・データ分析に。

Data Input

Paste CSV/TSV data (tab or comma separated) into any cell

Preset Data:
#XY
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Scatter Plot

Click on chart to add data points

Regression Models

Linear
y = ax + b
Quadratic
y = ax² + bx + c
Exponential
y = ae^(bx)
Logarithmic
y = a·ln(x) + b
Power
y = ax^b
📖How to Use
  1. 1Enter data points (x, y pairs)
  2. 2Select the regression type (linear, polynomial, exponential, etc.)
  3. 3See the regression equation, R² coefficient, and residual plot
💡Tips & Knowledge
  • •R² ranges from 0 to 1. Closer to 1 means the model explains the data better
  • •Outliers can significantly reduce R². Check the residual plot to assess their impact
  • •Correlation does not imply causation — interpret regression results carefully

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