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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2/11
there’s 2 R’s and 11 total so
possible outcomes/ overall outcomes
Answer is D the last one
if the equation is y= 3 lx + 2l
if you solve for x then the zero is x= -2
if y intercept .. so x = 0
then point is (0,6)
hope that helps
Answer:
The answer is "".
Step-by-step explanation:
Please find the complete question in the attached file.
We select a sample size n from the confidence interval with the mean 
and default 
, then the mean take seriously given as the straight line with a z score given by the confidence interval
Using formula:
The probability that perhaps the mean shells length of the sample is over 4.03 pounds is
Now, we utilize z to get the likelihood, and we use the Excel function for a more exact distribution
the required probability:
1 + sec^2(x)sin^2(x) = sec^2(x)
This becomes
1+tan^2(x) = sec^2(x) which is an identity
You could
1 + sin^2(x)/cos^2(x) = sec^2(x)
then
cos^2(x) + sin^2(x) = cos^2(x)sec^2(x)
1 = 1
