Answer:
the equation in letter D is a linear function.
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.
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Answer:
(-a,b)
Step-by-step explanation:
You use midpoint formula which is (x1+x2/2),(y1+y2/2)
Answer:
z = 32/3
Step-by-step explanation:
Presuming all the horizontal lines are parallel, the ratios of lengths will be identical.
3/8 = 4/z
3z = 8(4)
z = 32/3
Answer:
It would be 2 times the old perimeter.