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When one is likely to be the cause of the other, you generally make it the x variable.

Y is the dependent variable. In this case, the correlation would indicate that more time doing schoolwork leads to a higher GPA.

Schoolwork is the x, or independent variable.

GPA is the y variable, because grades depend on doing schoolwork.

Q: In a correlation between student cumulative GPA and the number of hours spent on school work each week which one would be the x variable?

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There is no correlation between class width and student achievement. Class width is arbitrary (there are rules of thumb for class width, and it depends on the range of the data).

POSITIVE CORRELATION IS CORRELATION THAT IS LINKED. REPHRAISED IT MEANS:POSITIVE CORRELATION IS CORRELATION IN WHICH BOTH AXIS ARE LINKED. SO IN SOME EXTREME CASES IT WOULD BE, (X=Y).BUT ON WITH THE QUESTION ANSWERING.HERE ARE A FEW EXAMPLES OF POSITIVE CORRELATION:1. THE AMOUNT OF COFFEE DRUNK AND THE NUMBER OF HOURS STAYED AWAKE.2. THE NUMBER OF PEOPLE FLYING TO AUSTRALIA AND THE NUMBER OF PLANES FLYING TO AUSTRALIA.THESE CAN EASILY BE CHANGED INTO SCATTER DIAGRAMS. IF YOU WANT TO KNOW MORE ABOUT POSITIVE CORRELATION THAN COME TO HAWLEY PLACE SCHOOL nd ask to see mr freeman.OTHER EXAMPLES OF POSITIVE CORRELATION IS THAT1.MARKS OF STUDENT AND HIS QUOTIENT. IN THIS CASE THERE IS POSITIVE CORRELATION BETWEEN THESE TWO VARIABLE.ON OTHER HAND IN SOME OTHER SITUATION "INCREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH INCREASE IN VALUE OF ANOTHER VARIABLE OR DECREASE IN VALUE OF ONE VARIABLE IS ASSOCIATED WITH DECREASE IN VALUE OF ANOTHER VARIABLE IS CALLED POSITIVE CORRELATION".

The student concluded based on the research that there was a significant correlation between sleep deprivation and decreased cognitive function.

ASU Cumulative

I would say you are a B- student.

The independent variable in the student's experiment in the prelab activity is the factor that the student changes or manipulates to observe its effect on the dependent variable. This variable is intentional and controlled by the student.

the length of time the student left the spoons in the water

Based on the results of the experiment, the student could conclude that the independent variable had a significant effect on the dependent variable. Additionally, the student could suggest that further research is needed to explore the relationship between the variables in more depth.

There would be a negative correlation in the classroom, of a student's grades, with the number of days absent from class.

Yes.

It is discrete.

What is the probability of a type I error? What does this mean?How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA?