A certain experiment produces the data (2,7.3), (3,5.3), and (4,-0.2). Describe the model that produces a least-squares fit of these points by a function of the form y= A cos x + B sinx. The model is y=XB+e, where y= (Type an exact answer.) X=B= 81 and ε = €2 w

Derive the least squares estimator of Bo for model Y₁ = P + Ei the re regression

Find the least squares approximating squares error for the points (1.1), (4.3). line and the least (2, 2), (3.2), and

Arm circumferences (cm) and heights (cm) are measured from randomly selected adult females. The 143 pairs of measurements yield x = 32.40 cm, y = 160.39 cm, r=0.072, P-value = 0.393, and y = 157 + 0.1075x. Find the best predicted value of y (height) given an adult female with an arm circumference of 34.0 cm. Let the predictor variable x be arm circumference and the response variable y be height. Use a 0.05 significance level. %3D The best predicted value is cm. (Round to two decimal places as needed.) Enter your answer in the answer box. MacBook Pro 888 esc %24 % & 4. 9- E T. Y. H. K %#3