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Linear Regression In Minutes

Upload numeric data, get regression coefficients and predictions. Free.

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PDF & citation included

Drop your CSV here

or click to browse · max 3 MB

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Rows
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Columns
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Numeric

Running marketing spend linear regression analysis...

Running marketing spend linear regression analysis...

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Sample Output

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How it works

Standard multiple linear regression — predicts one numeric variable from one or more predictors. Shows coefficients, R-squared, residual diagnostics, and prediction intervals.

Use this when you have a clear outcome variable and a few predictors, and want interpretable coefficients.

If you have many correlated predictors, use Elastic Net. If the outcome is binary (yes/no), use Logistic Regression.

Built for: Marketing analyst, business analyst, student, researcher

Typical data source: CSV with one outcome column and 1-10 predictor columns, all numeric

marketinganalyticseducationresearch

What data do you need?

Ad spend and sales data

Sales (numeric) Facebook (numeric) Google Ads (numeric)
12500 3200 2800
8900 0 4500
15200 5100 1200

Minimum 20 rows · Best with 50-5000 rows

What's in the report?

Multiple linear regression to predict sales revenue from multi-channel advertising spend (TikTok, Facebook, Google Ads). Estimates ROI per channel and optimizes budget allocation.

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Model Fit

Actual vs predicted sales values

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Channel ROI

Sales return per dollar spent on each advertising channel

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Residual Diagnostics

Residuals vs fitted values to check homoscedasticity

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Normality Check

Distribution of residuals for normality assessment

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Multicollinearity

Variance Inflation Factors for each predictor

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Influential Points

Leverage vs Cook's distance to identify influential observations

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Cross-Validation

K-fold cross-validation performance metrics

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Prediction Intervals

Point predictions with confidence bands

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Feature Importance

Standardized coefficients showing relative predictor importance

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Heteroscedasticity

Scale-location plot for constant variance assessment

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AI Insights

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

Related tools

Need something simpler? Correlation — Just want correlations, not a predictive model

Need more power? Elastic Net — Many predictors, need regularization

Similar: Ridge

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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