If a psychologist interested in the relation between number of years working for a particular company and loneliness at work surveyed 40 workers at this company and figured a correlation between these two variables of -.90, the correlation is considered aa. strong negative linear correlation

b. strong positive linear correlation

c. weak positive linear correlation

d. weak negative linear correlation

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1 September, 07:02

If a psychologist interested in the relation between number of years working for a particular company and loneliness at work surveyed 40 workers at this company and figured a correlation between these two variables of -.90, the correlation is considered aa. strong negative linear correlation

b. strong positive linear correlation

c. weak positive linear correlation

d. weak negative linear correlation

+1

Answers (1)

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Cassidy Mclaughlin · Answer 1

strong negative linear correlation

Explanation:

Correlation coefficient is used in statistics to describe a relationship between two variables. A negative correlation describes the extent to which two variables move in opposite directions i. e. an increase in a variable is associated with a decrease in the other variable.

Correlation coefficient is between - 1 and 1.

-1 shows a perfect, linear negative correlation, and 1 shows a perfect, linear positive correlation.

In this example, - 90 shows a strong negative correlation.