To determine the correlation between hours of studying and test scores, you would first plot the data points on a scatter plot. Each point on the graph represents a student, with the x-axis displaying the hours they studied and the y-axis displaying their test score.
After plotting the points, observe the overall direction of the points. If you notice that as the number of hours studied increases, the test scores also tend to increase, then the data is positively correlated. This would indicate that more study time is associated with higher test scores.
Conversely, if the test scores tend to decrease as the hours of studying increase, this signifies a negative correlation. Lastly, if there’s no discernible pattern or trend as you look at the data points, it suggests that there is no correlation between the two variables.
In conclusion, once you’ve plotted the data by hand, look closely at the clustering and direction of the points to classify the correlation correctly.