Based on this data set of three independent process steps and their total (final) process times,

(8) Mix sauce (3) Cook Penne (5) Sautee Plato with pasta TOTAL Pasta chicken and chicken. Proyecto 30 12 39 W W O W 2 27 3 30 4 5 12 4 31 5 7 12 33Regression Analysis: TOTAL versus Step (3) - Cook Penne Pasta, Step (5) - Sautee chicken, Step (8) - Mix All Ingredients Regression Equation TOTAL = 15.99 +0.250 Step (3)-Cook Penne Pasta + 0.438 Step (5)- Sautee chicken + 2.76 Step (8) - MixAll Ingredients Coefficients Term Coef SE Coef T-Value P-Value VIF Constant 15 99 7.19 2 22 0.156 Step (3) - Cook Penne 0.250 0.500 0.50 0.667 209 Pasta Step (5) - Sautee chicken 0.438 0513 0.85 0.483 1.25 Step (8) - Mix All 2.76 1.42 1.94 0.192 1.95 Ingredients Model Summary 5 R-sq R-sq(adj) R-sq(pred) 2.75329 81.81% 54 52% 0.00% Analysis of Variance Source OF Adj 55 Adj MS F-Value P-Value Regression 3 68.172 22 724 3.00 0.260 Step (3) - Cook Penne 1 1.891 1891 0.25 01667 Pasta Step (5) - Sautee chicken 1 5.531 5.531 0.73 0.483 Step (8) - Mix All 28.533 28 533 3.76 0.192 Ingredients Error 2 15.161 7.581 Total 5 83.333