hw2_Sriram - SRIRAMPATTABHIRAMAN HW2 38987985 1.

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
SRIRAM PATTABHIRAMAN HW – 2 3898 7985 1. The fit obtained using regression is y = 0.9407 x + 0.0158 The expression for Std Error is SE = ߪ ොඥݔ ௠் ሺܺ ܺሻ ିଵ ݔ , where = x m = [1 x] T ; X = [1 x i ] where x i is the x coordinate of the data points. The expression for SE in the interval [0, 1.5] is SE = 0.0953 כ √0.9091ݔ െ 0.9091ݔ ൅ 0.3182 Comment (Rafi Haftka): Since the minimization of the standard error is done before the simulation, the value of sigma is not known, and there is no need to include it. The Actual error is the magnitude of the difference between the fitted line and (y = x) line. The Std Error and the Actual error are compared in Figure 1 below. Figure 1: Comparing Std Error and Actual error graphically The estimated standard error for the fitted line is higher than the actual. 2. The best 3 points selected to minimize the maximum standard error in the interval [0, 1.5] are x = [0 0.9 1.0] The fit obtained by these 3 points is
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 06/06/2011 for the course EAS 4240 taught by Professor Peterifju during the Spring '08 term at University of Florida.

Page1 / 3

hw2_Sriram - SRIRAMPATTABHIRAMAN HW2 38987985 1.

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online