Question

The plant manager wants to establish the relationship between the number of line shutdowns (x) and the number of delivery deadlines missed (v). Below is the data collected from the last six months: SSESSR 324 227.41 56.85 227.41 10.08 72.54 49.92 87.62 57.46 42 1 289 361 36 529 1620 8.53 251 2.13 3.69 13.10 2.37 .14 29.96 511.56 56.85 0 511.66 1591.84 Coefficient of Determination Regression equation is In multiple regression, the following regression equation is obtained y-8 +2.6x 47.2w Predictyi 30 and w -10 3. As a car salesperson, you must predict the selling price of your used cars. You calculate a regression line with the dependent variable being the price and the

Answer 1

To from the table. Ex=30 n=6, x=5 Exi-x)2 =SSxx = 28 {4= 390, n = 6 Y=65 Eryi - y)2 = Syy = 1620 where SST = SS4y = EC 4:ū2= 1620 SSxy = E(Xi-7) CY;-) = -211 SST = 1620 SSE = 29.96, SSR = 1591,84. we can find regression equation using above information bo- ? ibi ? Shay --21 -75 b. - share - 28 - bo- ý bi (2) = 65-(-7.54) (5) 65+ 37.68 bo = 102.68 The Regression equation is, ø = both faut ů = 102.68+(-7.54) (x) Y = 102.68 – 7.54 (ə) Coe dicient of determination CR²) = LISSE 5ST = 29.96 1620 = 1-0.0185

bo = 102.68 bi =~7.54, Coeficient or ddormination Regresin egucchian ŷ = 102.68 - 7.54 (ae) ② Regression equations, - y = 8 + 206(1 + (-47.2) W where a=30, w=-10 y = - 8 + (2.6*30) – (47.2*-10 y = - 8 + 78 +472 Scheda = 542 predicted y=542 far a=30, Warlo