Price: $ 0.99 USD - $0.99
Genre: Education
Developer: MSYapps }else{?>Developer: MSYapps
Seller: Michael YOUNG }else{?>Seller: Michael YOUNG
Rated: 1 out of 5 stars.
Based on 2 reviews.
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Quick Linear Regression App V. 8.2.1
by Michael YOUNG
In statistics, linear regression is a technique for estimating the relationship between an independent variable, X, and its scalar result, the dependent variable, Y, derived from a series of X-Y relat - More Info...
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đ What makes Quick Linear Regression so special? đ
In statistics, linear regression is a technique for estimating the relationship between an independent variable, X, and its scalar result, the dependent variable, Y, derived from a series of X-Y relationships. The computational routine involves trying to fit a straight line between a scatter plot of X-Y coordinates such that the sum of the squared...
Whether you're a seasoned pro or a newbie in the digital world, Quick Linear Regression app is designed to make your life easier, more fun, and more productive. Here are just a few highlights:
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đ Price: 0.99 USD
đ Rating: 1 out of 5 stars. Based on 2 total reviews.
đš Content Rating: 4+
đĄ New Features:
But that's not all! The Michael YOUNG team is continuously improving and expanding Quick Linear Regression to bring you even more exciting features at the palm of your hand, being last updated at 2023-08-13, the Michael YOUNG team works hard to stay ahead of the curve and bring you an exceptionally robust, secure, and up-to-date app.
Download and experience Quick Linear Regression now and unlock a new journey in your mobile world â Your mobile device will thank you.! đ±đ«
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Developer: MSYapps
Seller: Michael YOUNG
Price: 0.99 USD
Current version: 8.2.1
Last Updated: 2023-08-13
Ratings: 1 out of 5 stars.
Based on 2 reviews. (Rate/Review)
Genre: Education
Filesize: 2.86MB
IOS Bundle ID: QuickLR
Age Rating: 4+
Languages: EN
Videos: Quick Linear Regression App Videos
Apple AppStore - Google Play
Please note BigTopApps is not responsible for the content provided by the publicly accessible App Store API.
The computational routine involves trying to fit a straight line between a scatter plot of X-Y coordinates such that the sum of the squared differences between each dependent outcome, Yi, and the line computed at each Xi is minimized. This is the so-called "ordinary least squares (OLS)" estimator.
R-squared, often called the "coefficient of determination," expresses the "goodness of fit" of the line to the scatter plot. It ranges from 0, no fit whatever, to 1, which is a perfect relationship where all the points in the plot fit along the straight line.
The iPad version allows you to add, retrieve, reorder, or delete data sets. It also permits emailing, text messaging, and printing of a PDF report. Also, changing the form of the regression equation from Y = function(X) to X = function(Y) is allowed along with estimation of the dependent variable amount from a user-specified independent variable amount.
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