spss3.pdf 0 Tegrity Take Test: Lesson 16 Lab × s//black board.und.edu/webapps/as

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spss3.pdf 0 Tegrity Take Test: Lesson 16 Lab × s//black board.und.edu/webapps/assessment take/launch.jsp?course-assessment-id·64803-1 & cour Question Completion Status: Instructions Correlations Weight Income Weight Pearson 1931 Correlation Sig. (2-tailed) 10 10 Income Pearson 931 Correlation Sig. (2-tailed) 10 10 Correlation is significant at the 0.01 level (2- tailed). Research Question: Is there a relationship between weight and income in wor Click Save and Submit to save and submit. Click Save All Answers to save all answers

Explanation / Answer

The correlation coefficient is a measure that determines the degree to which two variables are associated.

The range of values for the correlation coefficient is -1.0 to 1.0.
If a calculated correlation is greater than 1.0 or less than -1.0, a mistake has been made.
A correlation of -1.0 indicates a perfect negative correlation, while a correlation of 1.0 indicates a perfect positive correlation.
Value close to 0 (from either positive side or negative side) indicates weak correaltion and value close to -1 or +1 indicates strong correlation

If the value is 0 then there is no correlation at all

Thus, negative r indicates one quantity decreses with increase with other (inverse prportion)
positive r indicates both quantities decrease or increase at the same time (direct prportion)
r=0 indicates no relation between two variables

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