This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: Fall 2009 Hansen Assignment 13 solutions Due 12/8/2009 9:10 AM Data for all questions have been entered below to make your life (and ours) easier. 1. Problem 9.1 in Ross. a) Scatterplot b) Linear curve fit g = 2.46 G = 1.21 5 10 15 20 6 8 10 12 14 16 18 20 22 24 26 5 10 15 20 5 10 15 20 25 30 x y Fall 2009 Hansen scatter(x,y) hold on, plot(x,y1), hold off xlabel('x'),ylabel('y') 2. Problem 9.4 in Ross. a. Scatterplot – linear relationship seems somewhat reasonable b. Regression coefficients g = −2825.9 G = 12245.75 ¡ = −2825.9 + 12246 ∗ ¢ c. x=0.43, y=2439.8 0.39 0.4 0.41 0.42 0.43 0.44 0.45 0.46 0.47 0.48 1600 1800 2000 2200 2400 2600 2800 3000 3200 Fall 2009 Hansen 3. Problem 9.9 in Ross. a. gG¡ ¢ £ = ¤ ¢ ¡¡ ¥ = 845,280.5 ¡ ¢ = ¦ ¦§¢ ¤ ¨ ¢ = © ¦§¢ u Gª « − ª ¨ « £ ¢ ¦ «¬© = ® ¦§¢ = 105,660 Remember ª ¨ « = ¯ + ° ∗ ± « b. 90% 2sided confidence interval for ¤ ¢ ² ³.³´,µ ¢ = 15.507,² ³.¶´,µ ¢ = 2.733 · ¡¡ ¥...
View
Full Document
 Fall '10
 hansen
 Regression Analysis, standardized residuals, Linear Curve Fit, 2sided confidence interval

Click to edit the document details