CDEF 87 77 88 98 69 81 90 85 85 86 70 75 80 95 70 89 95 80 83 84 STUDENT A В GHI SCIENCE ΜΑΤΗ Answer the following: 1.Σχ. 2. ΣΥ- 3. ΣχΥ- 4. Σχ2 5. Σy2 6. solve for a= 7. solve for b= 8. What is the regression equation?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Pls help me solve number 6,7 and 8. Thank you. The other picture is guide for 6 and 7

Solve for a
(E y)(E x²) – (E x)(E xy)
n(E x²) – (E x)²
(181)(1594. 5) – (118.8)(2427.1)
9(1594. 5) – (118. 8)²
a = 1.1179448241 or 1. 1179|
(INIX 154.6) - (118.0x 44871.1)) : ((9× lv44.5)-(108.9)*) -
Solve for b
n(E xy) – E × E y
n(E x²) – (E x)*
9(2427. 1) – (118.8)(181)
9(1594. 5) – (118. 8)²
b = 1.4388762339 or 1. 4389
Cul our.
Transcribed Image Text:Solve for a (E y)(E x²) – (E x)(E xy) n(E x²) – (E x)² (181)(1594. 5) – (118.8)(2427.1) 9(1594. 5) – (118. 8)² a = 1.1179448241 or 1. 1179| (INIX 154.6) - (118.0x 44871.1)) : ((9× lv44.5)-(108.9)*) - Solve for b n(E xy) – E × E y n(E x²) – (E x)* 9(2427. 1) – (118.8)(181) 9(1594. 5) – (118. 8)² b = 1.4388762339 or 1. 4389 Cul our.
BCDEFGHIJ
STUDENT
A
В
SCIENCE
87
77
88
98
69
81
90
85
85
86
ΜΑΤΗ
70
75
80
95
70
89
95
80
83
84
Answer the following:
1.Σχ
2. Ey=
3. Σχy-
4. Σχ2
5. Σy2
6. solve for a=
7. solve for b=
8. What is the regression equation?
Choices:
A. Y 15.5930+ 0.7862x
B. Y 15.5929 +0.7861x
C.Y 15.5930-0.7862x
D.y 15.5929 -0.7861x
E. None
9. Use regression analysis to predict the grade of a
student in MATH if his grade in SCIENCE is 80.(round
off, whole number)
10.Use regression analysis to predict the grade of a
student in MATH if his Grade in SCIENCE is 91. (round
off, whole number)
11.Use regression analysis to predict the grade of a
student in MATH if his Grade in SCIENCE is 72. (round
off, whole number)
Transcribed Image Text:BCDEFGHIJ STUDENT A В SCIENCE 87 77 88 98 69 81 90 85 85 86 ΜΑΤΗ 70 75 80 95 70 89 95 80 83 84 Answer the following: 1.Σχ 2. Ey= 3. Σχy- 4. Σχ2 5. Σy2 6. solve for a= 7. solve for b= 8. What is the regression equation? Choices: A. Y 15.5930+ 0.7862x B. Y 15.5929 +0.7861x C.Y 15.5930-0.7862x D.y 15.5929 -0.7861x E. None 9. Use regression analysis to predict the grade of a student in MATH if his grade in SCIENCE is 80.(round off, whole number) 10.Use regression analysis to predict the grade of a student in MATH if his Grade in SCIENCE is 91. (round off, whole number) 11.Use regression analysis to predict the grade of a student in MATH if his Grade in SCIENCE is 72. (round off, whole number)
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Knowledge Booster
Linear Equations
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman