Question

We have a dataset with n = 10 pairs of observations (li, yi), and x = 683, Yi = 813, i=1 n > z* = 47,405, < <iyi = 56,089, Ly} = 66, 731. i=1 i=1 What is an approximate 99% confidence interval for the slope of the line of best fit? We have a dataset with n = 10 pairs of observations (li, Yi), and { x: = 683, yi = 813, i=1 i=1 n r* = 47,405, xiyi = 56,089, y} = 66, 731. What is the line of best fit for this data? We have a dataset with n = 10 pairs of observations (li, Yi), and x; = 683, yi = 813, i=1 n n «* = 47,405, ViYi = 56,089, Cy1 = 66, 731. i=1 i=1 What is an approximate 95% confidence interval for the mean response at Xo = - 90?

Answer 1

e Exi 683 c n=10 Ssxy = {(xy) - năý = 56089-10(68.3) (81.3) Given 68.3 y=&yi 813 81.3 ha ss, x = Exi [ x, ² no 2 Ssx=756.1 Ssy= {4;2_ny2 - 63 4.1 2 2 x 10 ) 47405 (68.3 SSy = 66781-10 * ( 813) 2 Ssxy =56lol Bi & Ssay solit -0.742098 SSX 25611 SSTotal = ssy = 634.1 Ssreg P, Ssxy = 561.1 x 0.742098 -416.390967 SSE = SsTotal - SSReg= 634.1-416.390967 = 217. 7090 33 SECB, ) = SSE (0-2) 27.213629) 75611 SE (B) =00189715848 0.035992103 SSX
second image is first one.