Answer and explanation:
Linear correlation is relationship between two variables, negative or positive. When there is a negative linear correlation between two variables, one variable increases steadily while the other decreases in same proportion. In positive linear correlation, two variables increase or decrease in steadily on same proportion.
Curvilinear correlation is relationship between variables that occurs when two variables increase steadily at same rate but at some point one begins to decrease while the other increases.
Two examples of linear correlation are : increase in work hours and increase in pay cheque
increase in expenses and decrease in cash
Two examples of curvilinear correlation are:
increase in staff cheerfulness and customer satisfaction but to certain extent
increase in achievements and increase in anxiety but to certain point when achievements begin to decrease.