Given the training examples with x=[x()1,x()2]∈ℝ2 above, where a boundary between the positively-labeled examples and the negatively-labeled examples is an ellipse , which of the following feature vector(s) phi(x) will guarantee that the training set {(phi(x()),y()),=1,…,} (where y() are the labels) are linearly separable?

Aconcession manager at yankee stadium wants to know how temperature affects beer sales. she took a sample of 10 games and recorded the number of beers sold and the temperature in the middle of the game. temperature 80 68 78 79 87 74 86 92 77 84 number of beers 20533 1439 13829 21286 30985 17187 30240 87596 9610 28742 a. draw a scatter plot of the data. b. the manager estimates the regression equation to be: numberofbeers = −100, 678 + 1, 513 ∗ temperature draw this on your scatter plot. c. for one of the estimated points, indicate the residual with ei . d. for that same point, indicate what part of the variation is explained by the model with ˆyi − y¯.