An inverse relationship between an independent variable x and a dependent variably y means that as x increases, y decreases, and vice versa.
举一反三
- If the coefficient of correlation r = 0, then there is no linear relationship whatsoever between the dependent variable y and the independent variable x.
- If average variable cost decreases as output increases, then:
- 180300d3c5444f6.png means that A: for a binary variable model, the predicted value from the population regression is the probability that [img=44x19]180300d3cee75d7.png[/img], given [img=15x19]180300d3d69dded.png[/img]. B: dividing Y by the X's is the same as the probability of [img=11x19]180300d3de9af85.png[/img] being the inverse of the sum of the [img=15x19]180300d3e7357fb.png[/img]'s. C: the exponential of Y is the same as the probability of Y happening. D: you are pretty certain that Y takes on a value of 1 given the X's.
- The function Y = f(X,Z) means A: X multiplied by Y equals f. B: Y is determined by both X and C: X + Y = D: none of the above.
- For small quantities of output, average variable cost decreases as output increases due to: