1. A college bookstore must order books two months before each semester starts. They believe that the number of books that will ultimately be sold for any course is related to the number of students registered for the course when the books are ordered. They would like to develop a linear regression equation to help plan how many books to order. From past records, the bookstore obtains the number of students registered, X, and the number of books sold for a course, Y, for 12 different semesters. These data are below. Semester Students Books 1 36 31 2 28 29 3 35 27 4 39 25 5 30 29 6 31 30 7 31 30 8 38 38 9 36 34 10 29 33 a. Table for Regression b. Hypothesis (Ho and Ha) c. Alpha (alpha = 0.05) d. Test Statistic (What is the formula for regression) e. Compute for Regression Equation f. Decision g. Compute for SSE, SSR, and SST
1. A college bookstore must order books two months before each semester starts. They believe that the number of books that will ultimately be sold for any course is related to the number of students registered for the course when the books are ordered. They would like to develop a linear regression equation to help plan how many books to order. From past records, the bookstore obtains the number of students registered, X, and the number of books sold for a course, Y, for 12 different semesters. These data are below. Semester Students Books 1 36 31 2 28 29 3 35 27 4 39 25 5 30 29 6 31 30 7 31 30 8 38 38 9 36 34 10 29 33 a. Table for Regression b. Hypothesis (Ho and Ha) c. Alpha (alpha = 0.05) d. Test Statistic (What is the formula for regression) e. Compute for Regression Equation f. Decision g. Compute for SSE, SSR, and SST
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 16EQ
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Transcribed Image Text:1. A college bookstore must order books two months before
each semester starts. They believe that the number of books
that will ultimately be sold for any course is related to the
number of students registered for the course when the
books are ordered. They would like to develop a linear
regression equation to help plan how many books to order.
From past records, the bookstore obtains the number of
students registered, X, and the number of books sold for a
course, Y, for 12 different semesters. These data are below.
Semester Students Books
1
36
31
2
28
29
3
35
27
39
25
30
29
31
30
31
30
38
38
36
34
29
33
a. Table for Regression
b. Hypothesis (Ho and Ha)
c. Alpha (alpha = 0.05)
d. Test Statistic (What is the formula for regression)
e. Compute for Regression Equation
f. Decision
g. Compute for SSE, SSR, and SST
1456769
8
10
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