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- The following data were collected to determine therelationship between two processing variables and thehardness of a certain kind of steel: AnnealingHardness Copper content temperature(Rockwell 30-T) (percent) (degrees F)y x1 x278.9 0.02 1,00055.2 0.02 1,20080.9 0.10 1,00057.4 0.10 1,20085.3 0.18 1,00060.7 0.18 1,200Fit a plane by the method of least squares, and use it toestimate the average hardness of this kind of steel when the copper content is 0.14 percent and the annealing tem-perature is 1,100◦F.Below you are given a partial Excel output based on a sample of 25 observations. Coefficients Standard ErrorIntercept 145 29x1 20 5x2 –18 6x3 4 4 The critical t value obtained from the table to test an individual parameter at the 5% level is _____. a. 2.074 b. 2.069 c. 2.080 d. 2.06Which is the linear differantial equation into which the Bernolli differantial equation transforms
- determine the equation of the orthogonal trajectories of the following families curves: e^x+e^-y=C1f X1,X2,...,Xn constitute a random sample of size n from a geometric population, show that Y = X1 + X2 + ···+ Xn is a sufficient estimator of the parameter θ.Suppose we have collected a random sample from our population, denoted by (xi , yi), i = 1, . . . , n. We now fit a least squares line: yˆi = βˆ 0 + βˆ 1xi (i = 1, . . . , n). What additional assumption do we need in order to carry out statistical inference on our least square estimators βˆ 0 and βˆ 1? c. Using the results we’ve derived in class, prove that the sum of residuals is zero (Pn i=1 ei = 0)
- Find the least squares approximation g(x) = a0 + a1x of f (x) = ex, 0 ≤ x ≤ 1.This problem finds the curve y=C + D * 2^t which gives the best least squares fit to the points (t,y) = (0,6) , (1,4) , (2,0). Find the coefficents C and D of the best curve y=C + D * 2^ta. Use the 2nd-order Runge-Kutta Method to approximate y(t) with h= 0.25 b. Use the 4th-order Runge-Kutta Method to approximate y(t) with h=0.25 c. Plot both sets {yi} obtained in (1) and (2) d. Determine the eventual population level (as t→∞) reached from initial population.
- Find the orthogonal trajectories of the family of circles passing through the points (1, −2) and (1, 2).Derive the normal equations for the least-squares cubic f(x) =Ax 3+ Bx 2+ Cx + D.Let yt = φyt−1 + et with et ∼ WN(0,σ2) and |φ| < 1. Consider the over-differenced process wt = (1 − L)yt.(i) What is the model followed by wt? (ii) Is wt invertible? (iii) Obtain V [wt] and compare its magnitude with V [yt] and hence comment on the impact of over-differencing on the variance of a stationary process.