Too determine the relationship between years of education and salary potential, 10 persons who have been employed for 5 years were interviewed. The results obtained on their number of years of higher education (college degree or higher) and their monthly salaries, are shown in the following table Salary in P1,000 Years of Higher Employee xy (x) Education (y) A 18.5 4 B 20.8 5 C 31.2 5 48.3 13.7 35.4 58.9 19.2 47.3 6 14.2 1 Ex² = Σy² = Exy= Ex= Ey=_ n= a Determine the Pearson's product moment coefficient correlation between the two variables. Interpret the degree of relationship between the two variables. b. DEFG H 1 J 299 3
Too determine the relationship between years of education and salary potential, 10 persons who have been employed for 5 years were interviewed. The results obtained on their number of years of higher education (college degree or higher) and their monthly salaries, are shown in the following table Salary in P1,000 Years of Higher Employee xy (x) Education (y) A 18.5 4 B 20.8 5 C 31.2 5 48.3 13.7 35.4 58.9 19.2 47.3 6 14.2 1 Ex² = Σy² = Exy= Ex= Ey=_ n= a Determine the Pearson's product moment coefficient correlation between the two variables. Interpret the degree of relationship between the two variables. b. DEFG H 1 J 299 3
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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Solve the following problems.
Too determine the relationship between years of education and salary potential, 10 persons who have been
employed for 5 years were interviewed. The results obtained on their number of years of higher education
(college degree or higher) and their monthly salaries, are shown in the following table
Salary in P1,000
Years of Higher
Employee
xy
y²
(x)
Education (y)
A
18.5
4
B
20,8
5
с
31.2
5
48.3
8
13.7
2
35.4
6
58.9
19.2
47.3
14.2
Ex² =
Σy² =
Exy=
Ex=
Σy=
n=
a. Determine the Pearson's product moment coefficient correlation between the two variables.
b. Interpret the degree of relationship between the two variables.
CDEFG
H
1
6
3
6
1
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