Correlation between x & y is 0.6125.
In probability theory and statistics, the cumulative distribution function of a real-valued random variable X, or simply the distribution function of X weighted by x, is the probability that X takes a value less than or equal to x.
The cumulative distribution function (CDF) of a random variable X is defined as FX(x)=P(X≤x) for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also note that the CDF is defined for all x∈R. Let's look at an example.
Learn more about cumulative distribution here: brainly.com/question/24756209
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Answer:
9x^15y^3z^2 is your answer
Step-by-step explanation:
Answer:
The curvature is 
The tangential component of acceleration is 
The normal component of acceleration is 
Step-by-step explanation:
To find the curvature of the path we are going to use this formula:

where
is the unit tangent vector.
is the speed of the object
We need to find
, we know that
so

Next , we find the magnitude of derivative of the position vector

The unit tangent vector is defined by


We need to find the derivative of unit tangent vector

And the magnitude of the derivative of unit tangent vector is

The curvature is

The tangential component of acceleration is given by the formula

We know that
and 
so

The normal component of acceleration is given by the formula

We know that
and
so

answer and explanation are in the picture.
Answer:
angle U ( the third option down)
Step-by-step explanation: