2. A teacher wants to know whether the number of student absences predicts exam scores. The data are presented below. Student Number of Absences Exam Grade 85 70 4 3 88 6. 80 71 92 a Specify the research hypothesis and the null hypothesis in words. hesearch, If students have less absences they will recie higher grades. Nulli Exam Scores are affected by exams 531 1234 S6

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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Question
451
1234 S6
Null: Exam Scores are by exams
data are presented below.
Student Number of
Exam
Grade
85
70
Absences
4.
8.
3.
3.
88
08
92
will recieve
Specify the research hypothesis and the null hypothesis in words.
hesearch, If students have less absences ther
higher grades.
Nulli Exam Scares are
affected by exams
b. Specify the Model A/C Comparison and the null hypothesis in statistical terms.
Y=botbix
c. Calculate the slope; in other words, calculate bi.
2001-619-501
-3,25
d. Calculate the intercept; in other words, calculate bo.
81-6325).15
.25
Transcribed Image Text:451 1234 S6 Null: Exam Scores are by exams data are presented below. Student Number of Exam Grade 85 70 Absences 4. 8. 3. 3. 88 08 92 will recieve Specify the research hypothesis and the null hypothesis in words. hesearch, If students have less absences ther higher grades. Nulli Exam Scares are affected by exams b. Specify the Model A/C Comparison and the null hypothesis in statistical terms. Y=botbix c. Calculate the slope; in other words, calculate bi. 2001-619-501 -3,25 d. Calculate the intercept; in other words, calculate bo. 81-6325).15 .25
Homework 4
page 3
calculated.
g. Calculate the sum of squared errors for Model C, that is, SSE(C).
h. Calculate the sum of squared errors for Model A, that is, SSE(A).
i. Calculate the sum of squares reduced (SSR).
Transcribed Image Text:Homework 4 page 3 calculated. g. Calculate the sum of squared errors for Model C, that is, SSE(C). h. Calculate the sum of squared errors for Model A, that is, SSE(A). i. Calculate the sum of squares reduced (SSR).
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