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:
step 3: he should have divided both sides by -7
Answer:
56
Step-by-step explanation:
Answer:
3137
Step-by-step explanation:
The decay factor is 400/110,000 = 1/275 in 30 hours. Assuming an exponential decay, the equation for the number remaining can be ...
n(t) = 110,000·(1/275)^(t/30)
Then after 19 hours, the number remaining is ...
n(19) = 110,000·(1/275)^(19/30) ≈ 3137
There will be about 3137 bacteria after 19 hours.
