INTRODUCTION TO STATISTICS - Essay Example

However, this relationship is weak. Finally, sales per square meter and sales floor space of the store i the only combination with a negative relationship. The two variables have a correlation coefficient of -0.29379 which implies that when one variable increases, the other one decreases. The graph above displays data points that resemble a rising line from the left hand side to the right hand side of the graph. Even though most of the points are clustered to the left of the graph, the slope of the assumed line (line of best fit) is positive.

This shows that there is a positive correlation which implies that the more the number of full-timers, the more the sales per square meter. This plot supports the calculated correlation coefficient (0.237185). Since the calculated t is greater than the tabulated t (4.876932>1.96), we fail to accept the null hypothesis and conclude that the relationship exists between sales per square meter and the number of full-timers. From the above graph, data points resemble a rising line from the left hand side to the right hand.

Most of the points are clustered to the left of the graph but the slope of the assumed line (line of best fit) is positive. This depicts that there is a positive correlation implying that the more the number of part-timers, the more the sales per square meter. Moreover, it supports the calculated correlation coefficient of the two variables (0.050085). Since the calculated t is smaller than the tabulated t (1.001704