<span>Linear regression is a method of finding the linear equation that comes closest to fitting a collection of data points.
</span>The better the choice of line, the closer the predicted values will be to the observed values.
The differences between the data pints (observed values) and the estimated (pedicted) regression line is called the <span>residue.
</span>Residue = Observed Value -<span> Predicted Value</span>
Answer:
The histogram that represents the correct frequency of each class interval in the given data set, is: histogram B.
What is a Histogram?
A histogram is a type of bar graph that uses bins to represent the frequency of a class interval.
Given the data points above, the histogram in option B has the correct bars that represent the appropriate frequency of each class interval.
Therefore, the histogram that represents the data set given is Histogram B.
Learn more about histograms on:
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<h2><u><em>
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An expression that is equivalent to the statement Subtract a from the quotient of 6 and B is 6/b - a
<h3>How to write equivalent expression</h3>
Given statement
Subtract a from the quotient of 6 and B
- The quotient of 6 and B can be written as 6/B
- a subtracted from 6/B is written as
6/B - a
Therefore, the correct option equivalent to the statement is option A) 6/B - a
Learn more about equivalent expression:
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If these four line segments are connected (kind of like a square) then only 4 endpoints are needed, but if they are all separate line segments, then you would need a maximum of 8 endpoints because any line segment has 2 endpoints and 4 line segments with 2 endpoints a piece equals 8 endpoints in total.
I hope this helped! :)
Y = 2m + p
12 = 2m + 2
10 = 2m
5 = m
The taxi cab traveled 5 miles.
