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Find What Drives Your Numbers In Minutes

Upload a CSV, pick the outcome you care about and the factors that might move it, and get a full regression report — coefficients, confidence intervals, driver ranking, and diagnostics. Free.

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Free analyses run on up to 10,000 rows. Larger files are randomly sampled to that size — sign up to analyze your full dataset.

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Running linear regression analysis...

Fitting the regression model...

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Sample Output

Every report includes interactive charts, tables, and AI insights

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How it works

Linear regression finds the straight-line relationship that best explains your outcome from the drivers you pick. Each driver gets a coefficient — the expected change in the outcome per one-unit increase in that driver, holding the others constant — plus a confidence interval and a significance test that separates real signal from noise. The report also ranks drivers by influence and checks the model's assumptions with residual diagnostics.

Use it when you have a numeric outcome (sales, cost, score, time) and want to know which factors move it and by how much.

Not ideal for yes/no outcomes (use logistic regression) or heavily non-linear relationships (tree-based models capture those better).

Built for: Analysts, marketers, and operators who need to know which levers move a number

Typical data source: Any spreadsheet or CSV export with a numeric outcome column and candidate driver columns

MarketingE-commerceSaaSOperationsFinanceResearch

What data do you need?

Any table where one numeric column is the outcome you care about and other columns might explain it. For example, weekly sales vs marketing spend:

tv_spend (numeric) radio_spend (numeric) unit_price (numeric) region (text) weekly_sales (numeric)
82.4 31.0 12.99 North 391.2
15.1 8.2 19.5 South 118.7
63.9 44.7 8.75 West 340.1

Minimum 20 rows · Best with 100-10,000 rows and 1-8 drivers

What's in the report?

Explains any numeric outcome from the driver columns you choose, using ordinary least squares regression. Coefficient estimates with 95% confidence intervals and significance, driver ranking by statistical influence, and full model diagnostics.

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Distribution of the Outcome

See the shape and range of your outcome before reading any effects.

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Coefficient Estimates

Each driver's effect size with a 95% confidence interval and significance stars — the heart of the analysis.

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Driver Ranking

All drivers ranked by statistical influence, so you know what matters most.

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Top Driver Effect

The strongest driver plotted against your outcome, showing the relationship the model found.

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Predicted vs Actual

How closely the model's predictions track reality.

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Residual Diagnostics

Prediction errors across the range — the honesty check on the linear model.

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

The Question This Answers

Which of our spend channels actually moves revenue — and by how much per dollar?

Map revenue as the outcome and each channel's spend as drivers. The coefficient table tells you the incremental effect of each channel, with confidence intervals that show which effects are statistically real.

Questions?

See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.

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