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

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.