The closer the linear correlation coefficient between two observations x and y is to 1, the more evidence one has to claim that x causes y

False. (Very!)

Step-by-step explanation:

Linear correlation carries no information about causation between two random variables. The closer the linear correlation coefficient to 1, the stronger the correlation between x and y, that is all.  Correlation is a term reflecting a "degree of association" (or, cooccurrence, or co-incidence, if you will) but never of causality. There are many examples of correlations being misinterpreted as causal relationships. Particularly in popular reporting on outcomes of various medical studies.

answer is 33

step-by-step explanation:

first, you divide the triangle in two, tô form a retangle triangle. after, using pythagoream theorem:

18^2 = 14^2 + (x/2)^2

(x^2/4) + 196 = 324

x^2/4 = 324 - 196

x^2/4 = 128

x^2 = 512

x = √512

x = √2^9

x = 16√2 cm

i hope i you.