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:
81
Step-by-step explanation:
by dividing the smallest number from the bigger number to get the last house
Answer:
- 8
Step-by-step explanation:
Given
3x - 6y = 24 ( divide all terms by - 3 )
x + 2y = - 8
Answer:
How the zero product property applies to solving quadratic equations?
The zero product property states that if the product of two quantities is zero, then one or both of the quantities must be zero. ... When you factor, you turn a quadratic expression into a product. If you have a quadratic expression equal to zero, you can factor it and then use the zero product property to solve.
Step-by-step explanation:
Because x²+1 has an imaginary solution so you can’t find a value to put on the side for synthetic division
