Answer:
a) May be used to predict a value of y if the corresponding x value is given
Step-by-step explanation:
In regression analysis, the vertical distance from the regression line to the data points can be minimized using the least square regression line.
Given the example of a least square regression equation:
y = ax + b
Where
a = slope
b = Y-intercept
If the value of x is known, the value of y may be predicted.
Option A is correct.
A least squares regression line may be used to predict a value of y if the corresponding x value is given
Answer:
I think x has no value in that function
Step-by-step explanation:
Hi again Lacy!
The answer would be 45.3. The same steps I took with the last question applies here, just this time in the TENTHS instead of HUNDREDTHS (I almost didn't catch that myself until I reread the problem and Kmc's post xP)
45.3297 -> 45.330 -> 45.33 -> 45.3
Answer:
So the x’s are the slopes and the y’are the y intercept. You write an equation by doing y=mx(slope) + b( y intercept. For example number 4, y=1x+5. Do the rest for all of them that will take me forever. Good luck.
Step-by-step explanation:
The value of m∠M is 112°
Step-by-step explanation:
In the parallelogram NPMQ, opposite angles ∠P=∠M.
To get the value of the angles, equate the two expressions;
(6x-2)°=(4x+36)°
6x-2=4x+36 ------ collect like terms
6x-4x=36+2
2x=38
x=38/2 =19
So, ∠M= (6x-2)° = (6×19 - 2)° = 112°
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Angles in a parallelogram : brainly.com/question/11611093
Keyword : angles
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