Given P(X) = 0.35, P(Y) = 0.45, and P(Y|X) = 0.25, what are P(X and Y) and P(X or Y)? A. P(X and Y) = 0.0875, P(X or Y) = 0.7
B. P(X and Y) = 0.0875, P(X or Y) = 0.7125
C. P(X and Y) = 0.8, P(X or Y) = 0.7
D. P(X and Y) = 0.8, P(X or Y) = 0.7125

Which best describes the strength of the correlation, and what is true about the causation between the variables? it is a weak negative correlation, and it is not likely causal. it is a weak negative correlation, and it is likely causal. it is a strong negative correlation, and it is not likely causal. it is a strong negative correlation, and it is likely causal.

This is my question~~ ( r ^ 4 - 2r ^ 3 - 23 r ^ 2 - 4r - 32)÷(r+4) ~~ i must use long division to solve it : / i was wondering if anyone world like to solve it. and if so, share step-by-step explanations! you! ❤

Ineed with this problem 21 show steps