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January 4.51 2.48 February March 3.58 2.26 4.31 2.47 April Мay June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 November 4.90 2.67 December 4.20 2.53 Using Linear regression to fit the best straight Line to these data, then a0 the interception and a1 the slope are given by: Select one: O a. 1.2 and 2.101 O b. None of the above O c. 0.409 and 0.499 d. 0.14 and 0.491

January 4.51 2.48 February March 3.58 2.26 4.31 2.47 April Мay June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 November 4.90 2.67 December 4.20 2.53 Using Linear regression to fit the best straight Line to these data, then a0 the interception and a1 the slope are given by: Select one: O a. 1.2 and 2.101 O b. None of the above O c. 0.409 and 0.499 d. 0.14 and 0.491

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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January February March 4.51 2.48 3.58 2.26 4.31 2.47 April May June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 2.67 November 4.90 December 4.20 2.53 Using Linear regression to fit the best straight Line to these data, then a0 the interception and a1 the slope are given by: Select one: O a. 1.2 and 2.101 O b. None of the above O c. 0.409 and 0.499 O d. 0.14 and 0.491
Transcribed Image Text:January February March 4.51 2.48 3.58 2.26 4.31 2.47 April May June 5.06 2.77 5.64 2.99 4.99 3.05 July August September October 5.29 3.18 5.83 3.46 4.70 3.03 5.61 3.26 2.67 November 4.90 December 4.20 2.53 Using Linear regression to fit the best straight Line to these data, then a0 the interception and a1 the slope are given by: Select one: O a. 1.2 and 2.101 O b. None of the above O c. 0.409 and 0.499 O d. 0.14 and 0.491
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