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Use a least squares approximation to find the best linear fit (i.e., the best line), L(t) = C + Dt, that is closest, in the sense of least squares, to passing through the through the following data points: (t₁, b₁) (-3,9), (0,3), (t3, b3) (3,-9), (t2, b2) = = = (t4, b4) (6,-17). What are the y-intercept C and the slope D of this line? =

Obtain the values for A and B by fitting the equation y= Ах to the following data using B + x linear least squares method. Hence, calculate y when x = 100. X 5 7 10 12 y 1.33 1.67 1.75 1.82 1.85

The following Minitab display gives information regarding the relationship between the body weight of a child (in kilograms) and the metabolic rate of the child (in 100 kcal/ 24 hr). Predictor Constant Weight S = 0.517508 Coef 0.8462 0.39512 R-Sq 97.0% (a) Write out the least-squares equation. ŷ = = 0.8462 + 0.39512 X SE Coef 0.4148 0.02978 T 2.06 13.52 P (c) What is the value of the correlation coefficient r? (Use 3 decimal places.) X 0.84 0.000 (b) For each 1 kilogram increase in weight, how much does the metabolic rate of a child increase? (Use 5 decimal places.) 0.39512

4. Given the following data, do a quadratic least squares polynomial fit using P2(r) = ao + a1r + azx?. Yi Yi Yi -1.0 7.904 -0.3 0.335 0.4 -0.711 0.224 0.689 -0.9 7.452 -0.2 -0.271 0.5 -0.8 5.827 -0.1 -0.963 0.6 0.7 -0.7 4.400 -0.847 0.861 -0.6 2.908 0.1 -1.278 0.8 1.358 -0.5 2.144 0.2 -1.335 0.9 2.613 -0.4 0.581 0.3 -0.656 1.0 4.599