csefticient of determination A. takes values between -1 to +1 c is equal to one
ID: 3323082 • Letter: C
Question
csefticient of determination A. takes values between -1 to +1 c is equal to one for the poorest fit C. io. 1a. Let M be the number of units to make in-house ond B be the number of units to buy B. is equal to zero for a perfect fit (D is used to evaluate the goodness of fit to make a unit and $3 to buy a unit and 2,000 units are needed, the objective can from outside. If it costs 52 fromo as de- c. Max 4,000M+ 6,000B 1t. Let X, and X, be binary variables wbose values indicate wbether re -answer below models a situation in which or 2 B. Min 2,000M+B) D. Max 2M-3B projects I and 2 are accepted or aot Which project I or 2 must be accepted, but not both? 12. The improvement itn in the value ofthe objective fanction A. sensitivity value per anit increase in a right-hand side is the shadow price slack value D. -13. Rogadio estraiot coeficigen 13. Rounding the solution of an LP Relaxation to the nearest integer values provides an infeasible solution A B. an integer solution that is optimal a feasible but not necessarily optimal integer D. an integer solution that might be neither feasible oor optimal and C be the number of surveys from three regions A, B, and C. If no m.ore than 50% ofthe total surveys should be conducted in region A, then 0.5A-0.5B-0.5C so -14. Let A, B aumber of rit m learns how to predict or clani Supervised learning C. 0.5A+0.5B-0.5Cs0 isa category ofdata-mining techniques in which an a D. 1 s. Data sampling A Dimension C Unsupervised learning 6) sum of squares due to eror (SSE) D. residual is a measure of the ecror in using the estimated regression equation to predict the values of the 6. The A. sum of squares due to regression (SSR) C. error term B're all is used to test the hypothesis that the values of the regression parameters . Aa Ftest B.A test C. The least squares method S Inteasibility means that the number of solutions to the linear programming models that satisfies all constre B. at least 2 D. an infinite number atleastExplanation / Answer
9) is used to evaluate goodness of fit
10) min 2M+3B
11) X1 + X2 = 1
12) shadow price
13) a feasible but not an optimal integer solution
14) 0.5A-0.5B-0.5C <= 0
15) Supervised learning
16) Sum of squares due to error (sse)
17) An F test
18) 0
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