“…)-(y i )) 2 values Supplant the total values in the accompanying structure to get the enhanced cost of 0 J(θ1) =1/2m∑(hθ (x i )-(y i )) 2 Table.3. Linear Regression A1 A2 A3 A4 A5 A6 A7 A8 A9 A1 1 1.9, 1 2.0, 1 1.2, 0.5 1.4, 0.5 -1.3, 1 1.3, 1 -A2 1.9, 1 1 0.1, 1 -1.8, 0.5 -2, 1 0.6, 1 -A3 2.0, 1 0.1, 1 1 -1.8, 0.5 -2, 1 0.6, 1 -A4 1.2, 0.5 --1 0.7, 1 -1.2, 1 --A5 1.4, 0.5 1.8, 0.5 1.8, 0.5 0.7, 1 1 2.9, 0.5 1.3, 1 - (Fioravanti, 2000), we will get the enhanced θ value, and for this θ trait value can be proficiently relapsed after the Pearson likeness measure (where r>0.8). This technique is utilized for cost improving which implies advancing the variable.…”