chapter 1

Chapter 13: Nonlinear and Multiple Regressionb. We need S xx = ∑ ( x i− x )*eican be calculated as follows:below shows the values:2= 415,914.85 −e*i=.4427( 2817.9)1+20120+e2i= 18,886.8295 . Then each( x −140.895)i18,886.8295standardized*standardizedresiduals e / eiresiduals*e / ei-0.31064 0.644053 0.6175 0.64218-0.30593 0.614697 0.09062 0.648020.4791 0.578669 1.16776 0.5650031.2307 0.647714 -1.50205 0.646461-1.15021 0.648002 0.96313 0.6482570.34881 0.643706 0.019 0.643881-0.09872 0.633428 0.65644 0.584858-1.39034 0.640683 -2.1562 0.6471820.82185 0.640975 -0.79038 0.642113-0.15998 0.621857 1.73943 0.631795Notice that if*iwhich are close to s.2. The table**e ˜ e / s, then e e ˜ s. All of the e e ’s range between .57 and .65,/ic. This plot looks very much the same as the one in part a./i2standardized residuals10-1-2100 150 200filtration rate394