Mean is just another word for average. To find the average of something you must add up all values and divide by the number of values in the set.
Answer:
I believe it is C and the domain is "all real numbers"
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Answer:
The standard deviation of the residuals calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.
Step-by-step explanation:
<h2>How do you find the standard deviation around the regression line?</h2>
STDEV. S(errors) = (SQRT(1 minus R-squared)) x STDEV. S(Y). So, if you know the standard deviation of Y, and you know the correlation between Y and X, you can figure out what the standard deviation of the errors would be be if you regressed Y on X.
<h2>What does standard deviation tell you?</h2>
A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.
Answer:
There is no solution.
Step-by-step explanation:
Answer:
Step-by-step explanation:
Use the formula of a³ - b³ = ( a - b) ( a² + ab + b² )
Hope I helped!
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