Question

The following pairs of variables are all strongly correlated (positively or negatively, as indicated), but for only some of them is there a cause-and-effect relationship between the variables. Which of the pairs has a cause-and-effect relationship? Check all that apply.

A.Temperature outdoors and amount of time spent indoors (-)
B.The heights of women's hemlines and the Dow-Jones Industrial Average (+)
C.Number of sunny days in Germany and cost of milk in New York (-)
D.The average weight of cows per state and average income per state (-)
E.The time of year and the cost of a vacation (+

Answer 1

Have you tried this yourself?

Answer 2

dont unerstand what it means by (-) & (+)

Answer 3

- indicates negative correlation
+ indicates positive correlation
Positive correlation means that two variables increase or decrease together. Negative correlation means that as one variable increases, the other decreases.

Answer 4

There's a positive correlation between amount of rainfall and number of umbrellas being used.
As rainfall increases, there are more umbrellas used.

There's a negative correlation between gas prices and the amount of money I have in my wallet.

Answer 5

A,D,E

Answer 6

Good. B and C are very obviously not a cause and effect relationship.
A and E I would say are both definite.
D is a little iffy, but I think you made the correct choice in labeling it a cause and effect.