Students sometimes suspect that studying more isn't worth it for "harder" math and science classes: either you understand it, or
you don't. To find out whether more studying actually transferred to higher grades, one enterprising student surveyed randomly selected students and asked them the number of hours they had spent studying for a final exam in a core math or science class, and their grade on the final exam. The student wanted to know the average increase in points scored on the final for every additional hour spent studying. What statistical procedure should be performed?
ANSWER: The statistical procedure that should be performed is REGRESSION.
Step-by-step explanation: Regression is a statistical procedure that is used to estimate the relationship between an independent variable and a dependent variable using their mean values.
The independent variable in this case is the hours each student spend in studying, while the dependent variable is the students grade.
Since the researcher wants to determine if the hours a student spend in studying maths and science has any significant effect on their grades. The researcher should use regression, because it will show if the two variables are related and how it relates, by showing how far the points are from the trend lines of the graph.
When a negative number is multiplied by a positive number, the result is a negative number. When a negative number is multiplied by another negative number, the result is positive.
