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:
Area = 153.8 cm/ m
Step-by-step explanation:
Area of circle = 22 ÷ 7 × r²
= 22 ÷ 7 × (7²)
= 22 ÷ 7 × 49
= 3.14 × 49
= 153.8 cm/ m
Answer:
Can you provide a photo of the reflection please
Step-by-step explanation:
Answer:
The answer that yoy are looking for is D
Step-by-step explanation:
HOPE THIS HELPS :)
Answer:
A) 1
Step-by-step explanation:
To solve, just plug in the numbers to the equation for x until both sides are equal to each other.
Plug in 1:
2(1 + x) = x + 3
Let x = 1:
2(1 + 1) = 1 + 3
Solve. Remember to follow PEMDAS. First, add parenthesis, then multiply. On the other side, add:
2(1 + 1) = 1 + 3
2(2) = 4
4 = 4 (True)
A) 1 is your answer.
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