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ÂHES 5 = Home Insert Draw Page Layout Paste J1 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 X [6 J 26 27 Calibri (Body) BIU x ✓ fx ✓12 0.9 2 2.1 4 4.8 5.2 6.2 9 9.1 ✓ Formulas A B с D 1 x (years) y (height in cm) y estimate residual m ▾ 2 A A M A V Data Review View == 등등등 € # E 140 120 100 80 60 40 20 0 Tell me -20 -40 ab Wrap Text v Merge & Center v b 0.79 2.73020174 -1.9402017 0.05956044 2.67659735 3.98 2.79571823 1.18428177 4.81 2.80167427 2.00832573 11.41 2.9148391 8.4951609 29.72 2.96248745 26.7575125 24.1 2.98631163 21.1136884 26.81 3.04587207 23.7641279 91.47 3.2126413 88.2573587 129.45 3.21859734 126.231403, F • math 3.6 assignment info • General $%908 8 G Correlation 0.90313567 ● x (years) Years and height ● ● ● · ● 6 H residual ● H Conditional Format. Formatting as Table ● 8 I ● ● 10 .......... Linear (residual) M Cell Styles J 12 en TTV. Insert Delete K ✓ Format L Σ 6 V Share 47. Sort & Filter V Find & Select M Qa Comments FD)- LIN Analyze Data N
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
What conclusions can you draw from the residual plot in the photo?
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