Multiple regression calculator

About Multiple regression calculator

CURVE FITTING USING LINEAR AND NONLINEAR REGRESSION
Curve fitting application it’s a free tool to construct a curve or mathematical formula that has the best fit to dataset (series of data points), using least square method.

HOW TO INPUT THE DATA :

x=1,2,3,4.    or x=-1,-3,0.5,1
y=1,2,3,4     or y=-1,-3,0.5,1

You can use as many x and y values as you want (input unlimited number of data), 
You can view your data in order to choose the appropriate regression model.
The list of available models are listed in following table:
REGRESSION MODEL
MATHEMATICAL REPRESENTATION
Polynomial model
 an xn +  an xn  +.....+a0
Exponential model
 aebx
Power x model
Power B model
 abx
 axb
Logarithm model
 log(x+b)+c
Gaussion model
 ae-(x-b)2/(2c2)
Half life model
 a+b/2^x
Reciprocal model
 a+b/x
Michaelis model
 ax/(x+b)
 
 
Description on how to use the app:
 
UPLOAD : the upload button allows you to read CSV file your data stored into your phone or sdcard storage , the data will be written in csv file format
VIEW : When you fill the fields x and y with you data then click on VIEW button to see the relation between x,y data 
Choose a model: after clicking view button then a list of models will be available to choose the appropriate model that may fit your data 
FIT : After choosing a model form the available list then click FIT to fit your data to the chosen model after that you will be taken to other page where you will see the regression model 
you will the coefficient of determination r square 
You can estimate the fitted model at different x values by entering in the field xe then click Estimate button the result will be shown in ye field 
SAVE  button is to save your  data, fitted model, estimated model at the given x values, the r square and the error of the model saved as csv or txt files into your phone storage as " model_regression.csv" or "model_regression.txt" filling a folder called curve_fitting_data 
 
if you want to fit your dataset to the following equations : Exponential, Power, Half life, Michaelis Mentent(Plateau), and Gaussian curves : you need to provide the app with x and y dataset then click on the corresponding button (for Power curve press Power fit button)  (linear regression graph, nonlinear regression, multiple linear regression, polynomial regression, quadratic regression calculator )

if you want to fit your dataset to Linear or Polynomial curve then you need to provide the app with the degree of the polynomial, for Linear curve then the degree is 1