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: she has $20 left now.
Step-by-step explanation:
The total amount of money that Kathryn had yesterday was 105 dollars.
She first spent 1/3 of it at the mall. This means that the amount of money that she spent at the mall is
1/3 × 105 = $35
The amount left after her shopping would be 105 - 35 = $70
Later, she went to the movies and spent 5/7 of what was left after her shopping. This means that the amount of money that she spent at the movies is
5/7 × 70 = $50
The amount that she has left now is
70 - 50 = $20
Answer:
√430 or 20.74
Step-by-step explanation:
√430
Prime factorize 430
√2 · 5 · 43
There are no pairs to take out of the root, so the most simplified form of √430 is √430.
If you want the decimal form, it is 20.74
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Answer:
t = 54.85714 seconds
Step-by-step explanation:
t = 12(210)+9000/210
t = (2520 + 9000) / 210
t = 11520 / 210
t = 54.85714 seconds
40*8.75 is 350*4=1400
36*4= 144
1400-144=$1,256 after tax deductions