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:
65 degrees
Step-by-step explanation:
Answer:
the answer is 483x|28~73
Step-by-step explanation:
You need to multiply that and then dovide it and then minus and need add and then use pendas
Answer:
TOTAL TAX IS: $19.25
TOTAL PRICE IS: $294.25
MONEY LEFT IS: $135.75
Step-by-step explanation:
First, you do a proportion:
?/275 = 7/100
the ?/275 represents how much money in $275
the 7/100 represents 7% (7 hundredths)
then you cross multiply:
275 x 7 = 1925
then you divide:
1925 divided by 100 = 19.25
<em><u>So $19.25 is the tax amount.</u></em>
<em><u></u></em>
To get the total price, you add:
Tax ($19.25) + Cost($275) = $294.25
<u><em>$294.25 is the total amount that Anna has to pay.</em></u>
<u><em></em></u>
To get what Anna has left over, you subtract:
Has($430) - Spend($294.25) = $135.75
<u><em>Anna has $135.75 left.</em></u>
<u><em></em></u>
I hope this helped you a lot!
Bri <3
