Question

For the data set below (a) Determine the least-squares regression line. (b) Compute the sum of the squared residuals for the least-squares regression line. x 30 40 50 60 70 y 80 73 64 48 43 (a) Determine the least-squares regression line. ỳ-Ux + ] (Round to four decimal places as needed.) (b) The sum of the squared residuals is (Round to two decimal places as needed.)

Answer 1

子2050-77 6500 62500 450 5000 slope ton , b- -0.qq 2 950 o 664q5 111, 1 of (-0.99) implies tal fr eve 1vnd increax in y

in.i) Ub 30 40 | 구3 |71-5 5064 61.G 60 孑0 80 31,ч 1.C16 2.25 5-a6 3. 6 4 g 5-7 250 | 30% 25. Sum of -ta svuaved re siduals is give SSE = 25.1 No1e>

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