Please interpret the following correlation matrıx. Discuss the relationship between each of the variables listed (reading score, writing score, math scon science score, and female). Use this chart to indicate the strength of the relationship that you see wi the correlations table. For example, "There is no statistically significant relationship between the rea score and those who identified as female." Size of the Correlation Coefficient General Interpretation .5 to 1.0 Strong relationship .4 Moderate to strong relationship .3 Moderate relationship .2 Weak to moderate relationship 0 to .1 Weak or no relationship Correlationsa writing score 597** math score science score 630* reading score female reading score Pearson Correlationb 1 .662 -.053 Sig. (2-tailed) 000 00 .455 .000 writing score Pearson Correlation .597** 1 617* 570* .256 Sig. (2-tailed) .000 000 000 .000 math score Pearson Correlation 662 617 1 .631** -.029 Sig. (2-tailed) 000 .000 .000 .680 science score Pearson Correlation 630** 570 631 -.128 Sig. (2-tailed) 000 .000 000 .071 female Pearson Correlation -.053 256* -029 -.128 Sig. (2-tailed) 455 000 680 071 ** Correlation is significant at the 0.01 level (2-tailed).
Please interpret the following correlation matrıx. Discuss the relationship between each of the variables listed (reading score, writing score, math scon science score, and female). Use this chart to indicate the strength of the relationship that you see wi the correlations table. For example, "There is no statistically significant relationship between the rea score and those who identified as female." Size of the Correlation Coefficient General Interpretation .5 to 1.0 Strong relationship .4 Moderate to strong relationship .3 Moderate relationship .2 Weak to moderate relationship 0 to .1 Weak or no relationship Correlationsa writing score 597** math score science score 630* reading score female reading score Pearson Correlationb 1 .662 -.053 Sig. (2-tailed) 000 00 .455 .000 writing score Pearson Correlation .597** 1 617* 570* .256 Sig. (2-tailed) .000 000 000 .000 math score Pearson Correlation 662 617 1 .631** -.029 Sig. (2-tailed) 000 .000 .000 .680 science score Pearson Correlation 630** 570 631 -.128 Sig. (2-tailed) 000 .000 000 .071 female Pearson Correlation -.053 256* -029 -.128 Sig. (2-tailed) 455 000 680 071 ** Correlation is significant at the 0.01 level (2-tailed).
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
![Please interpret the following correlation matrix.
Discuss the relationship between each of the variables listed (reading score, writing score, math score,
science score, and female). Use this chart to indicate the strength of the relationship that you see within
the correlations table. For example, "There is no statistically significant relationship between the reading
score and those who identified as female."
Size of the Correlation
Coefficient General Interpretation
.5 to 1.0
Strong relationship
.4
Moderate to strong relationship
.3
Moderate relationship
.2
Weak to moderate relationship
0 to .1
Weak or no relationship
Correlationsa
female
writing score
597**
reading score
math score
science score
Pearson Correlation b
Sig. (2-tailed)C
Pearson Correlation
Sig. (2-tailed)
reading score
1
662*
630**
-.053
000
000
.000
.455
writing score
.597**
1
617*
.570**
.256**
000
.000
.000
.000
math score
.631**
-.029
617*
000
Pearson Correlation
.662*
1
680
Sig. (2-tailed)
Pearson Correlation
.000
000
science score
630
570*
631*
1
-.128
.071
Sig. (2-tailed)
Pearson Correlation
.000
000
000
female
-.053
256**
-.029
-.128
Sig. (2-tailed)
455
000
.680
.071
**. Correlation is significant at the 0.01 level (2-tailed).](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F21403075-beba-49fc-9a78-02b3bd746418%2F59589487-0e12-4e4a-81d3-4b132a1b8ffc%2F7c7bl5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Please interpret the following correlation matrix.
Discuss the relationship between each of the variables listed (reading score, writing score, math score,
science score, and female). Use this chart to indicate the strength of the relationship that you see within
the correlations table. For example, "There is no statistically significant relationship between the reading
score and those who identified as female."
Size of the Correlation
Coefficient General Interpretation
.5 to 1.0
Strong relationship
.4
Moderate to strong relationship
.3
Moderate relationship
.2
Weak to moderate relationship
0 to .1
Weak or no relationship
Correlationsa
female
writing score
597**
reading score
math score
science score
Pearson Correlation b
Sig. (2-tailed)C
Pearson Correlation
Sig. (2-tailed)
reading score
1
662*
630**
-.053
000
000
.000
.455
writing score
.597**
1
617*
.570**
.256**
000
.000
.000
.000
math score
.631**
-.029
617*
000
Pearson Correlation
.662*
1
680
Sig. (2-tailed)
Pearson Correlation
.000
000
science score
630
570*
631*
1
-.128
.071
Sig. (2-tailed)
Pearson Correlation
.000
000
000
female
-.053
256**
-.029
-.128
Sig. (2-tailed)
455
000
.680
.071
**. Correlation is significant at the 0.01 level (2-tailed).
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