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Barlas · IndividualStatistics

OLS Regression

Fit a linear model and inspect coefficients, uncertainty and diagnostics before using predictions.

Example result · fictional data16 observations

Assessment score: OLS regression

R²
0.983166
Adjusted R²
0.978957
Covariance
HC3

95% coefficient intervals

95% coefficient intervals. Coefficient versus Term. 4 plotted observations.0102030InterceptInterceptWeekly study hoursWeekly study hoursSleep hoursSleep hoursStudy format: Solo (r…Study format: Solo (reference: Group)CoefficientTermIntercept · Coefficient: 18.51327600512935 · Interval: 8.684901652861079 to 28.3416503573976218.51Weekly study hours · Coefficient: 3.5775816549747304 · Interval: 2.9376756055818123 to 4.2174877043676493.578Sleep hours · Coefficient: 3.763294863091198 · Interval: 2.0739317361812484 to 5.4526579900011483.763Study format: Solo (reference: Group) · Coefficient: 0.8659576073018085 · Interval: -2.5182334896916343 to 4.2501487042952510.866

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How it works

  1. Import or enter observations with an outcome and possible explanatory factors.

  2. Choose the variables and model settings.

  3. Inspect coefficients, uncertainty and diagnostics before using a prediction.

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