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sp2606 [1]
3 years ago
15

g Explain the difference between explanatory and response variables. Is it important to distinguish between the two in linear re

gression
Mathematics
1 answer:
sukhopar [10]3 years ago
4 0

Answer: See explanation

Step-by-step explanation:

The response variable is the variable that the researcher is interested in. It is what the experiment really focuses on.

An explanatory variable is the variable that is being manipulated by the researcher and it explains the variations that may occur to the response variable.

It should also be noted that it is important to distinguish between the response variable and the explanatory variable in a linear regression.

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Alright, can someone that is competent in this concept explain to me about residuals? I am studying for a quiz tomorrow. I will
andrey2020 [161]

Answer:

Hey buddy, here is your answer. Hope it helps you.

Step-by-step explanation:

It is the difference between the dependent variable and a predicted value.Each data point has one residual. Residual = Observed value - Predicted value. A residual is a measure of how well a line fits an individual data point.

8 0
3 years ago
1. Find the area of the given circle. Round to the nearest tenth. *theres a picture of a circle and the radius is 3.5*
Alexandra [31]
I hope this helps you



area formula=pi.r^2


1) Area=3,14. (3,5)^2


Area=38,465


Area nearest 38,5


2) Circumference=2pi.r


Circumference=2.3,14.3,5


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7 0
4 years ago
Please help......................................
Jlenok [28]
The answer would be C
7 0
3 years ago
PLS HELP BRO MY GRADE IS LITERALLY A D- IN MATH!
Olenka [21]
Y=mx+b
y=-2/12x-8
Simplify:
y=-1/6x-8
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7 0
3 years ago
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Law Incorporation [45]

Answer:

15c⁴b³-9b²c³=3b²c³(5bc-3)

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3 years ago
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