Correlation is find out the Association between the Variables. The values of Correlation Coefficient lies in -1 to +1
-1 -->indicates Negative Correlation
+1 -->Indicates Positive Correlation
0 -->inidicates No relationship between variables
In this R-code,used both Linear Regression and Multi Linear Regression Algorithm to train and Test the data.Before Training the Data,we just cleaned the Data by Removing all the outlier data and replacing them with NA's.