00:01
Hello, so for the first question here, we can say that the larger the numerical value of the pearsons are, the stronger the relationship.
00:12
So a pearsons correlation coefficient are closer to 1 or negative 1 indicates a strong positive or a strong negative relationship, respectively.
00:21
So values near 0 indicate a weak or no correlation.
00:26
Hello, so then for number 2, well, we cannot determine causation.
00:32
So causation is going to go in the blank for number two.
00:40
So yes, correlation and regression tests can identify relationships between variables, but they do not establish causation.
00:46
So these tests can reveal the degree and direction of the relationship, but other methods are needed to then determine whether one variable would cause or make variable causes changes in another...