Question

correlation measures the degree to which two variables are related to one another.

Here are the definitions of the three possibilities:

• Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation.
• Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation.
• No correlation: This indicates no relationship between the two variables. A correlation coefficient of 0 indicates no correlation.

Values range from -1 to 1. The closer to -1 or 1 the stronger the correlation. The closer to 0 the weaker it is. Correlation is a term that refers to the strength of a relationship between two variables where a strong, or high, correlation means that two or more variables have a strong relationship with each other while a weak or low correlation means that the variables are hardly related. Correlation analysis is the process of studying the strength of that relationship with available statistical data.

Example: A recent study of marriage and education found a strong negative correlation between the level of education and the divorce rate. Data from the National Survey of Family Growth show that as education level increases among women, the divorce rate for first marriages decreases.

. Decker (1987) found that a supervisor's perceived sense of humor was positively correlated with people's job
satisfaction. So what does this show?

Answer 1

Solution:

Decker (1987) found that a supervisor's perceived sense of humor was positively correlated with people's job
satisfaction. This shows that a supervisor's perceived sense of humor and people's job satisfaction increases or decreases at the same time. In other words if a supervisor's perceived sense of humor increases then the people's job satisfaction will also increase. If a supervisor's perceived sense of humor decreases then the people's job satisfaction will also decrease.

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