Linear Regression Equation app icon

Apps Like Linear Regression Equation for iPhone and iPad

Calculate equations

Enter and validate data in a table with error detection. Calculate equations with and without predicted values. Predict y values within the range of x data.

by Aberdeen Telecom Inc.★ 0.00 ratingsEducationFreeData updated 2026-09-06

Linear Regression Equation screenshots

Ranked alternatives

Showing 461–480 of 1,000 ranked alternatives.

  1. LED Ohm Calc app icon

    LED Ohm Calc

    Yoshimasa Kato

    Calculate LED resistors simply and quickly.

    The app simplifies LED resistor calculations. It accommodates various power supply and microcontroller voltages, decimal values, current, multiple LEDs, and power consumption.

    ★ 4.36 ratingsUtilities$0.99Data updated 2026-09-16
  2. Number Analytics app icon

    Number Analytics

    Number Analytics LLC

    Analyze data and generate reports

    Perform statistical tests, regression analysis, and text analysis on various data formats. Generate graphs and tables for t-tests, ANOVA, linear regression, and survival analysis. Visualize text data with cloud charts for customer feedback.

    ★ 5.03 ratingsProductivityFreeData updated 2026-09-06
  1. iGraphmatica app icon

    iGraphmatica

    Keith Hertzer

    Graph equations and plot data

    Graphmatica allows users to plot Cartesian, polar, parametric, and differential equations. It supports data plotting and curve-fitting. Users can graph up to 999 equations simultaneously.

    ★ 3.06 ratingsEducation$3.99Data updated 2026-09-08
  2. Engine Horsepower Calculator app icon

    Engine Horsepower Calculator

    Tan Chia Ling

    Calculate from weight, time, and speed

    Calculate estimated using vehicle weight, elapsed time, and quarter-mile speed. Input driver, passenger, and load weights. Results are estimations based on ET or trap-speed methods. Export calculations for reference.

    ★ 4.26 ratingsProductivity$2.99Data updated 2026-09-10

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.