Acommon mathematical interpretation of of causal relations is y =f(x,ε), where f is the law of nature and ε is some random noise. having observed data that is likely generated the equation, there are two goals in the data analysis: (1) extracting information about the law of nature—the function f (where we are mostly care about in chemical engineering). (2) predict what the response variables y are going to be with the predictor variables x revealed to us.

option a, c,d are correct.

step-by-step explanation:

from the given figure, it is given that z is equidistant from the sides of the triangle rst, then from triangle tzb and triangle szb, we have

tz=sz(given)

bz=zb(common)

therefore, by rhs rule,δtzb ≅δszb

by cpctc, sz≅tz

also, from δctz and δasz,

tz=sz(given)

∠tcz=∠saz(90°)

by rhs rule, δctz ≅ δasz, therefore by cpctc, ∠ctz≅∠asz

also,from δasz and δzsb,

zs=sz(common)

∠zbs=∠saz=90°

by rhs rule, δasz ≅δzsb, therefore, by cpctc, ∠asz≅∠zsb

hence, option a, c,d are correct.

step-by-step explanation:

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-12 -5(x + 4) = 3x

-12 - 5x - 20 = 3x

-12 - 20 - 5x = 3x

-32 - 5x = 3x

    + 5x   + 5x

-32 = 8x

8         8

- 4= x

3

step-by-step explanation:

because where the point where the 2 lines intersect is (3,-1) the x value is 3