Table 1: Bivariate Correlations for the following variables: income, number of siblings, education, age, white, black and gender (1)rincome 1.00 (2)sibs (3)edu (4)age (5)white (6)black (1) (8)male Mean -0.06 0.30 0.16 0.12 (7)female -0.21 -0.12 0.21 13.91 Standard Dev. 5.63 (2) 1.00 -0.21 0.09 -0.27 0.27 0.02 -0.02 3.505 2.927 (3) 1.00 0.05 0.12 -0.12 0.02 -0.02 13.39 2.93 (4) 1.00 0.12 -0.12 -0.03 0.03 47.12 17.50 (5) 1.00 -1.00 -0.07 0.07 .84 .37 (6) 1.00 .07 -.07 .16 .37 (7) 1.00 -1.00 .56 .50 (8) 1.00 .44 .50 Note: rincome is respondent's income, sibs is respondent's number of siblings, age represents respondent's age, white, and black are respondent's races and gender is represented by male and female. Deduce appropriate hypotheses from the correlation matrix in Table 1 above: i. There is a negative correlation between family size and income. ii. Income is positively correlated with education. iii. Income is positively correlated with age. iv. Income is positively correlated with white race. v. The black race is negatively correlated with income. vi. Income is negatively correlated with females. vii. Income is positively correlated with males.
Table 1: Bivariate Correlations for the following variables: income, number of siblings, education, age, white, black and gender (1)rincome 1.00 (2)sibs (3)edu (4)age (5)white (6)black (1) (8)male Mean -0.06 0.30 0.16 0.12 (7)female -0.21 -0.12 0.21 13.91 Standard Dev. 5.63 (2) 1.00 -0.21 0.09 -0.27 0.27 0.02 -0.02 3.505 2.927 (3) 1.00 0.05 0.12 -0.12 0.02 -0.02 13.39 2.93 (4) 1.00 0.12 -0.12 -0.03 0.03 47.12 17.50 (5) 1.00 -1.00 -0.07 0.07 .84 .37 (6) 1.00 .07 -.07 .16 .37 (7) 1.00 -1.00 .56 .50 (8) 1.00 .44 .50 Note: rincome is respondent's income, sibs is respondent's number of siblings, age represents respondent's age, white, and black are respondent's races and gender is represented by male and female. Deduce appropriate hypotheses from the correlation matrix in Table 1 above: i. There is a negative correlation between family size and income. ii. Income is positively correlated with education. iii. Income is positively correlated with age. iv. Income is positively correlated with white race. v. The black race is negatively correlated with income. vi. Income is negatively correlated with females. vii. Income is positively correlated with males.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:Table 1: Bivariate Correlations for the following variables: income, number of siblings, education, age, white, black and
gender
(1)rincome 1.00
(2)sibs
(3)edu
(4)age
(5)white
(6)black
(1)
(8)male
Mean
-0.06
0.30
0.16
0.12
(7)female -0.21
-0.12
0.21
13.91
Standard Dev. 5.63
(2)
1.00
-0.21
0.09
-0.27
0.27
0.02
-0.02
3.505
2.927
(3)
1.00
0.05
0.12
-0.12
0.02
-0.02
13.39
2.93
(4)
1.00
0.12
-0.12
0.03
47.12
(5)
-0.03 -0.07
17.50
1.00
-1.00
0.07
.84
.37
(6)
1.00
.07
-.07
.16
.37
(7)
1.00
-1.00
i. There is a negative correlation between family size and income.
ii. Income is positively correlated with education.
iii. Income is positively correlated with age.
iv. Income is positively correlated with white race.
v. The black race is negatively correlated with income.
vi. Income is negatively correlated with females.
vii. Income is positively correlated with males.
.56
.50
(8)
1.00
.44
.50
Note: rincome is respondent's income, sibs is respondent's number of siblings, age represents respondent's age, white,
and black are respondent's races and gender is represented by male and female.
Deduce appropriate hypotheses from the correlation matrix in Table 1 above:
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution!
Trending now
This is a popular solution!
Step by step
Solved in 3 steps
Recommended textbooks for you
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman