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Part D

Part D

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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Given are five observations for two variables, x and y. 11 9. 22 18 Yi 59 48 54 13 21 a. Choose the correct scatter diagram for these data: A. y y 60 60 50 50 40 40 30 30 -20 20 10+ 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x C. D. y y 60 60 50 50 40 30 30 y. 60 60- 50 50 40 40 30 30 10 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x A b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative + linear relationship between x and y. c. Try to approximate the relationship between x and y by drawing a straight line through the data. Only one straight line can be drawn + to provide a linear approximation of the relationship between x and y. d. Develop the estimated regression equation by computing the values of bo and b1 using equations: (Enter negative values as negative figure) E(*; – 7)(yi – T) bị bo = y – bịa 77.68 + 2.96 x (to 2 decimals) e. Use the estimated regression equation to predict the value of Y when x = 6. 95.44 (to 2 decimals) 20 B. 40 20
Transcribed Image Text:Given are five observations for two variables, x and y. 11 9. 22 18 Yi 59 48 54 13 21 a. Choose the correct scatter diagram for these data: A. y y 60 60 50 50 40 40 30 30 -20 20 10+ 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x C. D. y y 60 60 50 50 40 30 30 y. 60 60- 50 50 40 40 30 30 10 10 10 20 30 40 50 60 X 10 20 30 40 50 60 x A b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a negative + linear relationship between x and y. c. Try to approximate the relationship between x and y by drawing a straight line through the data. Only one straight line can be drawn + to provide a linear approximation of the relationship between x and y. d. Develop the estimated regression equation by computing the values of bo and b1 using equations: (Enter negative values as negative figure) E(*; – 7)(yi – T) bị bo = y – bịa 77.68 + 2.96 x (to 2 decimals) e. Use the estimated regression equation to predict the value of Y when x = 6. 95.44 (to 2 decimals) 20 B. 40 20
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