EXPONENTIAL REGRESSION - TRIAL Application icon

EXPONENTIAL REGRESSION - TRIAL EXPONENTIAL

156.2 KB / 0+ Downloads / Rating 5.0 - 1 reviews


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EXPONENTIAL REGRESSION - TRIAL, developed and published by BSAIBES ENGINEERING, has released its latest version, EXPONENTIAL, on 2020-09-19. This app falls under the Education category on the Google Play Store and has achieved over 5 installs. It currently holds an overall rating of 5.0, based on 1 reviews.

EXPONENTIAL REGRESSION - TRIAL APK available on this page is compatible with all Android devices that meet the required specifications (Android 2.0+). It can also be installed on PC and Mac using an Android emulator such as Bluestacks, LDPlayer, and others.

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App Screenshot

App Screenshot

App Details

Package name: exponential.regression.trial

Updated: 4 years ago

Developer Name: BSAIBES ENGINEERING

Category: Education

New features: Show more

Installation Instructions

This article outlines two straightforward methods for installing EXPONENTIAL REGRESSION - TRIAL on PC Windows and Mac.

Using BlueStacks

  1. Download the APK/XAPK file from this page.
  2. Install BlueStacks by visiting http://bluestacks.com.
  3. Open the APK/XAPK file by double-clicking it. This action will launch BlueStacks and begin the application's installation. If the APK file does not automatically open with BlueStacks, right-click on it and select 'Open with...', then navigate to BlueStacks. Alternatively, you can drag-and-drop the APK file onto the BlueStacks home screen.
  4. Wait a few seconds for the installation to complete. Once done, the installed app will appear on the BlueStacks home screen. Click its icon to start using the application.

Using LDPlayer

  1. Download and install LDPlayer from https://www.ldplayer.net.
  2. Drag the APK/XAPK file directly into LDPlayer.

If you have any questions, please don't hesitate to contact us.

Previous Versions

EXPONENTIAL REGRESSION - TRIAL EXPONENTIAL
2020-09-19 / 156.2 KB / Android 2.0+

About this app

This program adjusts an exponential function
on a given set of points using the method of
least squares. When the function has been
adjusted, the values of y can be obtained
by giving the values ​​of x.

New features

Exponential regression - trial