Given are five observations for two variables, x and y. xi 5 13 7 21 19 yi 59 42 55 10 29 -select your answer- choices: a. (A, B, C, D) the different graphs are being attached b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a (positive, 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. (Many different straight lines can be drawn, Only one straight line can be drawn, A straight line cannot be drawn) to provide a linear approximation of the relationship between x and y.
Given are five observations for two variables, x and y. xi 5 13 7 21 19 yi 59 42 55 10 29 -select your answer- choices: a. (A, B, C, D) the different graphs are being attached b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? There appears to be a (positive, 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. (Many different straight lines can be drawn, Only one straight line can be drawn, A straight line cannot be drawn) to provide a linear approximation of the relationship between x and y.
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.
xi | 5 | 13 | 7 | 21 | 19 |
yi | 59 | 42 | 55 | 10 | 29 |
-select your answer- choices:
a. (A, B, C, D) the different graphs are being attached
b. What does the
There appears to be a (positive, 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.
(Many different straight lines can be drawn, Only one straight line can be drawn, A straight line cannot be drawn) to provide a linear approximation of the relationship between x and y.
D & E questions are being attached.
Thank you!
![Given are five observations for two variables, z and y.
5 13
7 21 19
59 42 55 10 29
a. Choose the correct scatter diagram for these data:
A.
y!
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Select your answer-](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3b78d0e9-6419-4e40-825f-18d1ef1e2986%2F024a53ee-e9a2-484d-82c9-9a1f8621e622%2Frjn2lvp_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Given are five observations for two variables, z and y.
5 13
7 21 19
59 42 55 10 29
a. Choose the correct scatter diagram for these data:
A.
y!
60
В.
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.
60-
60
50-
50-
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20-
20
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30
40
50
60 x
10
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30
40
50
60 к
Select your answer-
![b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
There appears to be a
- Select your answer - v linear relationship between x and y.
c. Try to approximate the relationship between x and y by drawing a straight line through the data.
Select your answer -
v 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 bị using equations: (Enter negative values as negative figure)
b1 =
bo = 9 - bịa
x (to 2 decimals)
e. Use the estimated regression equation to predict the value of y when x = 8.
ü =
(to 2 decimals)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3b78d0e9-6419-4e40-825f-18d1ef1e2986%2F024a53ee-e9a2-484d-82c9-9a1f8621e622%2Fc1kiks_processed.jpeg&w=3840&q=75)
Transcribed Image Text:b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?
There appears to be a
- Select your answer - v linear relationship between x and y.
c. Try to approximate the relationship between x and y by drawing a straight line through the data.
Select your answer -
v 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 bị using equations: (Enter negative values as negative figure)
b1 =
bo = 9 - bịa
x (to 2 decimals)
e. Use the estimated regression equation to predict the value of y when x = 8.
ü =
(to 2 decimals)
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