# Multiple Linear Regression Calculator Fit a multiple linear regression model from rows of predictor variables and a numeric target > Canonical page: https://elysiatools.com/en/tools/multiple-linear-regression-calculator - **Category:** Math & Numbers - **Keywords:** multiple linear regression, predictors, least squares, coefficients, r squared, calculator ## Overview The Multiple Linear Regression Calculator allows you to model the relationship between two or more independent variables and a single dependent target variable. By inputting CSV data, you can instantly calculate the regression intercept, coefficients for each predictor, and the R-squared value to assess model fit and make data-driven predictions. ## Inputs - **CSV Data** (textarea): Predictors first, target y last, e.g. x1,x2,y 1,2,6 2,1,7 3,4,14 - **Has Header Row** (checkbox) - **Prediction Values (Optional)** (text): e.g. 6, 3 - **Decimal Places** (number) ## When to use - When you need to determine how multiple independent factors influence a single numerical outcome. - When you want to predict a future value based on a set of known predictor variables. - When you need to evaluate the strength of the relationship between variables using the R-squared metric. ## How it works - Paste your dataset into the CSV input field, ensuring the target variable (y) is located in the final column. - Specify whether your data includes a header row and set the desired decimal precision for the output. - Optionally enter specific predictor values to generate a predicted target value based on the fitted model. - Submit the data to receive the intercept, coefficients for each variable, and statistical fit metrics. ## Use cases - Real estate analysis to predict house prices based on square footage, age, and number of bedrooms. - Marketing performance tracking to see how ad spend across different channels impacts total sales revenue. - Academic research for analyzing the impact of various environmental factors on agricultural crop yields. ## Frequently asked questions ### Where should the target variable be placed in the CSV? The target variable (y) must always be the last column in your CSV data, with all predictor variables (x) in the preceding columns. ### Can I predict new values with this tool? Yes, enter comma-separated values in the Prediction Values field to calculate a specific outcome based on your regression model. ### What does the R-squared value represent? It indicates the proportion of variance for the dependent variable that is explained by the independent variables in the model. ### Does the tool support non-numeric data? No, all predictor and target values must be numeric for the linear regression calculation to function correctly. ### How many predictors can I include in my model? You can include multiple predictors as long as they are formatted as separate columns preceding the final target column. ## Related tools - [Logistic Regression Calculator](https://elysiatools.com/en/tools/logistic-regression-calculator): Fit a binary logistic regression model with gradient descent and predict class probabilities - [Markdown Table to CSV JSON with Type Inferred Schema](https://elysiatools.com/en/tools/markdown-table-to-csv-json-schema): Convert a Markdown pipe table to CSV, JSON rows or an inferred JSON Schema with alignment and null diagnostics - [Barcode Batch Generator](https://elysiatools.com/en/tools/barcode-batch-generator): Batch generate Code 128, EAN-13, UPC-A, ITF-14, QR Code, and Data Matrix outputs from CSV or multiline text - [Coefficient of Variation Calculator](https://elysiatools.com/en/tools/coefficient-of-variation): Calculate the coefficient of variation (CV) for numerical columns to measure relative variability - [Data Column Extractor](https://elysiatools.com/en/tools/data-column-extractor): Extract specific columns from tabular data with support for various formats and flexible column selection - [Markdown Table Generator](https://elysiatools.com/en/tools/markdown-table-generator): Generate formatted Markdown tables from CSV, JSON, or array data with alignment, header styles, width control, and merge hints - [CSV Protobuf Converter](https://elysiatools.com/en/tools/csv-to-protobuf): Convert between CSV and Protocol Buffers (Protobuf) formats - [Column Calculator](https://elysiatools.com/en/tools/column-calculator): Perform calculations on columns and add new rows ## Samples - [CSV Samples](https://elysiatools.com/en/samples/csv-samples): Sample CSV files with various data types, sizes, and complexity levels - [Python Samples](https://elysiatools.com/en/samples/python): Essential Python code examples and Hello World demonstrations - [Windows String Processing - C# Samples](https://elysiatools.com/en/samples/windows-string-processing-csharp): Comprehensive C# string processing examples for Windows platform including string manipulation, splitting, joining, regex operations, and text analysis - [Cypress E2E Testing Framework](https://elysiatools.com/en/samples/cypress-testing): Comprehensive Cypress end-to-end testing examples including test setup, page object models, API testing, visual regression testing, and advanced E2E patterns for modern web applications ## Related content - [CSV Export and Table Conversion Tools](https://elysiatools.com/en/hubs/csv-convert): Compare CSV to Excel, JSON, HTML, Markdown, XML, and text conversion tools in one hub for tabular export and interchange workflows. - [CSV Cleanup and Table Reshaping Tools](https://elysiatools.com/en/hubs/csv-utility): Compare CSV cleanup, filtering, sorting, grouping, merging, splitting, and table reshaping tools in one hub for spreadsheet and import/export workflows. - [Data Quality, Dedupe, and Anomaly Detection Tools](https://elysiatools.com/en/hubs/data-quality-anomaly-workflows): Profile CSV/JSON datasets, compare spreadsheet versions, find duplicates, outliers, missing-value issues, referential breaks, and time-series anomalies in one data-quality workflow hub. - [Audio Encoding and Format Conversion Tools](https://elysiatools.com/en/hubs/audio-convert): Compare audio format conversion, bitrate changes, sample-rate conversion, codec swaps, and export tools in one hub for delivery and archive workflows.