Question

Given the data set for the height and shoe size of every student in a math class, hypothesize a relationship between the variables.

A. I would expect the data to be positively correlated.

B. I would expect the data to be negatively correlated.

C. I would expect no correlation.

D. There is not enough information to determine correlation.

Answer 1

Hey, Isaiah,
Would you expect a taller guy to have bigger or smaller feet?
That's one way of determining whether the two given variables are correlated or not, and, if they are correlated, what kind of correlation is involved.
I have BIG feet.

Answer 2

I d expect a positive correlation. Taller people, bigger feet.

Answer 3

I would expect a positive correlation.

Answer 4

I think it is option D because to have a co relation there must be other informations as well.

Answer 5

Correlation is an indicator of whether or not changes in one variable, usually called the independent or causal variable, cause changes in another variable, usually called the dependent or response variable. How many variables are involved here? Two. If we calculate the correlation coefficient (r) and find it close to either +1 or -1, we can conclude that there's a strong linear relationship between the two variables. If r is smaller in magnitude (e. g., r = -0.7), then the linear relationship is not so strong and there may be other, confounding variables affecting the relationship. So I'd eliminate D as a viable option; correlation here refers to the relationship between two primary variables, the causal and the response variables.

Answer 6

so what's the answer?

Answer 7

What was the answer?