Update LinearRegression.java with correct operators

Author: tkgowtham

src/main/java/com/thealgorithms/machinelearning/LinearRegression.java

@@ -27,10 +27,10 @@ public LinearRegression(ArrayList<Double> dependentX,
                           ArrayList<Double> independentY) {
     this.dependentX = dependentX;
     this.independentY = independentY;
-    this.Equate();
+    this.equate();
   }
 
-  private double Sumation(ArrayList<Double> arr) {
+  private double sumation(ArrayList<Double> arr) {
     double sum = 0.0;
 
     for (int i = 0; i < arr.size(); i++) {
@@ -40,7 +40,7 @@ private double Sumation(ArrayList<Double> arr) {
     return sum;
   }
 
-  private ArrayList<Double> MultiplyNumber(ArrayList<Double> arr1,
+  private ArrayList<Double> multiplyNumber(ArrayList<Double> arr1,
                                            ArrayList<Double> arr2) {
     ArrayList<Double> temp = new ArrayList<Double>();
     for (int i = 0; i < arr1.size(); i++) {
@@ -49,24 +49,24 @@ private ArrayList<Double> MultiplyNumber(ArrayList<Double> arr1,
     return temp;
   }
 
-  private void Equate() {
+  private void equate() {
     int n = dependentX.size();
-    this.m = (n * Sumation(MultiplyNumber(independentY, dependentX)) -
-              (Sumation(dependentX) * Sumation(independentY)));
-    this.m = this.m / (n * (Sumation(MultiplyNumber(dependentX, dependentX))) -
-                       (Sumation(dependentX) * Sumation(dependentX)));
+    this.m = (n * sumation(multiplyNumber(independentY, dependentX))
+              - (sumation(dependentX) * sumation(independentY)));
+    this.m = this.m / (n * (sumation(multiplyNumber(dependentX, dependentX)))
+                      - (sumation(dependentX) * sumation(dependentX)));
 
-    this.c = (Sumation(independentY) *
-                  Sumation(MultiplyNumber(dependentX, dependentX)) -
-              (Sumation(dependentX) *
-               Sumation(MultiplyNumber(independentY, dependentX))));
-    this.c = this.c / (n * (Sumation(MultiplyNumber(dependentX, dependentX))) -
-                       (Sumation(dependentX) * Sumation(dependentX)));
+    this.c = (sumation(independentY)
+                *  sumation(multiplyNumber(dependentX, dependentX))
+              - (sumation(dependentX)
+               * sumation(multiplyNumber(independentY, dependentX))));
+    this.c = this.c / (n * (sumation(multiplyNumber(dependentX, dependentX)))
+                      - (sumation(dependentX) * sumation(dependentX)));
   }
 
   public double getM() { return this.m; }
 
   public double getC() { return this.c; }
 
-  public double PredictForX(double x) { return (this.m * x) + this.c; }
+  public double predictForX(double x) { return (this.m * x) + this.c; }
 }