Linear Algebra, Node.js - rextester

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Linear Algebra

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'use strict'

let noOfBHKs = [2,3,4,3,2,1,4,3,3,3,2]
let flatPriceInLacs = [50,65,80,60,40,30,70,60,65,55,45]
let meanX = noOfBHKs.reduce((sum,noOfBHK)=>{return sum+noOfBHK},0)/noOfBHKs.length;
let meanY = flatPriceInLacs.reduce((sum,flatPrice)=>{return sum+flatPrice},0)/flatPriceInLacs.length;
let varianceX = noOfBHKs.map((noOfBHK)=>{return Math.pow(meanX-noOfBHK,2)}).reduce((sum,noOfBHK)=>{return sum+noOfBHK},0)/(noOfBHKs.length);
let sdX = Math.sqrt(varianceX);
let varianceY = flatPriceInLacs.map((flatPrice)=>{return Math.pow(meanY-flatPrice,2)}).reduce((sum,flatPrice)=>{return sum+flatPrice},0)/(flatPriceInLacs.length);
let sdY = Math.sqrt(varianceY);
let numenator = 0;
let meanSquareError = 0;
for(let index in noOfBHKs){
    numenator += (noOfBHKs[index]-meanX) * (flatPriceInLacs[index]-meanY);
    meanSquareError += Math.pow((flatPriceInLacs[index]-meanY),2);
}
let r = numenator/((noOfBHKs.length-1)*sdX*sdY);
let slope = (r*sdY)/sdX;
let intercept = meanY - (slope * meanX);
let regressionSquareError = 0;
for(let index in noOfBHKs){
    let yReg = intercept+slope*noOfBHKs[index];
    regressionSquareError += Math.pow((flatPriceInLacs[index]-yReg),2);
}
let equation = "Equation is : y="+intercept+"+"+slope+"x";
let rSquare = 1-(regressionSquareError/meanSquareError);
console.log(rSquare*100)

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