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N76 [4]
3 years ago
14

For a least squares regression line, the sum of the residuals is __________.

Mathematics
1 answer:
Westkost [7]3 years ago
3 0

Answer:

d. always zero.

Step-by-step explanation:

A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.

For a least squares regression line, the sum of the residuals is always zero.

Basically, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.

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Add the two equations, 0.75x+1.5y=40 and −1.5x−1.5y=−60 , to find the value of x .
sergij07 [2.7K]

The value of x in the equation is 26.7

<h3>How to solve an equation?</h3>

0.75x + 1.5y = 40

−1.5x − 1.5y = −60

add both equation to eliminate y .

Therefore,

−1.5x + 0.75x = -0.75x

1.5y + (- 1.5y) = 0

40 + (-60) = -20

Hence,

-0.75x  = - 20

divide both sides by -0.75

-0.75x / -0/75 = - 20 / -0.75

x = - 20 / -0.75

x = 26.6666666667

x = 26.7

learn more on equation here:  brainly.com/question/7234676

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1 year ago
The slope of a line running through points (-3,-5) and (0, -3) is:
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The slope is 2/3 and the y intercept if you need it is -3
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3 years ago
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In the past five years, Company A sold 7.5 x 10^4 reams of paper and Company B sold 9.5 x 10^3 reams of paper.
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Step-by-step explanation:

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