If there is a relationship between the variables X and Y, then mathematically it can be expressed by an equation of the linear regression line Ỹ = Bo+ B1x. In this equation ß1 is: %3D 1. O The Prediction of X variable 2. О The intercept (the intersection of the vertical axes 3. О The Prediction of Y variable 4. O The Slope
If there is a relationship between the variables X and Y, then mathematically it can be expressed by an equation of the linear regression line Ỹ = Bo+ B1x. In this equation ß1 is: %3D 1. O The Prediction of X variable 2. О The intercept (the intersection of the vertical axes 3. О The Prediction of Y variable 4. O The Slope
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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Choose the correct answer, give brief explaination
I make it as one question, because its have simple explanation and its related
![If there is a relationship between the variables X and Y, then mathematically it can be
expressed by an equation of the linear regression line Y = Bo + B1x. In this equation ßi is:
%3D
1. O
The Prediction of X variable
2. O
The intercept (the intersection of the vertical axes
3. O
The Prediction of Y variable
4. O
The Slope](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faa609e28-63e7-4270-9272-2a021cc22f27%2Fdb6d91d8-0d67-4218-aefc-0c68d78c3f1a%2Fd6ih4vb_processed.png&w=3840&q=75)
Transcribed Image Text:If there is a relationship between the variables X and Y, then mathematically it can be
expressed by an equation of the linear regression line Y = Bo + B1x. In this equation ßi is:
%3D
1. O
The Prediction of X variable
2. O
The intercept (the intersection of the vertical axes
3. O
The Prediction of Y variable
4. O
The Slope
![To test the similarity of variance of the two populations I and II, a sample of 10 were taken
from population I and the variance was 24.7, while a sample of 13 were taken from
population II and the variance was 37.2 For the 0.05 level of significance and f(1-a)(12;9)
1/(fa(9,12) then the interval estimator for the ratio of variance o/o? is
1. O ketiganya salah
None of the above
(Sın)^2/(s)^2. f{a/2}[9;12) < (on)?/(01)*2 < (S1)/(sı)2. f(1-a/2|9:12)
(sı)^2/(sı)^2. f(a/2)(9;12) < (o1)^2/(01)^2 < (Sı)^2(s)^2. f(1-a/2)(9;12)
2. O
(Sı)^2/(s)^2+ f(1-a/2){12;9) < (O1)^2/(01)^2 < (Si)^2/(si)^2.
(Sı)^2/(s)^2. f(1-a/2)(12,9) < (o1)^2(01)^2 < (Sı)^2/(si)^2. f(a/2)(12;9)
f(a/2)(12;9)
*
3. O
(S)^2/(sı)^2. f(a/2)(12,9) < (O1)^2/(01)^2 < (S1)^2/(si)^2. f¢1-a/2)(12;9)
(Sı)"2/(si)^2. f(a/2)(12;9) < (o1)^2/(01)^2 < (S1)^?/(si)^2» f(1-a/2){12;9)
4. O](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faa609e28-63e7-4270-9272-2a021cc22f27%2Fdb6d91d8-0d67-4218-aefc-0c68d78c3f1a%2Fz0wts5_processed.png&w=3840&q=75)
Transcribed Image Text:To test the similarity of variance of the two populations I and II, a sample of 10 were taken
from population I and the variance was 24.7, while a sample of 13 were taken from
population II and the variance was 37.2 For the 0.05 level of significance and f(1-a)(12;9)
1/(fa(9,12) then the interval estimator for the ratio of variance o/o? is
1. O ketiganya salah
None of the above
(Sın)^2/(s)^2. f{a/2}[9;12) < (on)?/(01)*2 < (S1)/(sı)2. f(1-a/2|9:12)
(sı)^2/(sı)^2. f(a/2)(9;12) < (o1)^2/(01)^2 < (Sı)^2(s)^2. f(1-a/2)(9;12)
2. O
(Sı)^2/(s)^2+ f(1-a/2){12;9) < (O1)^2/(01)^2 < (Si)^2/(si)^2.
(Sı)^2/(s)^2. f(1-a/2)(12,9) < (o1)^2(01)^2 < (Sı)^2/(si)^2. f(a/2)(12;9)
f(a/2)(12;9)
*
3. O
(S)^2/(sı)^2. f(a/2)(12,9) < (O1)^2/(01)^2 < (S1)^2/(si)^2. f¢1-a/2)(12;9)
(Sı)"2/(si)^2. f(a/2)(12;9) < (o1)^2/(01)^2 < (S1)^?/(si)^2» f(1-a/2){12;9)
4. O
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