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aksik [14]
3 years ago
12

A linear regression was conducted on the number of cigarettes a person smokes in a day versus the number of times they cough in

a day. Suppose the number of cigarettes a person smokes in a day is our x variable and the number of times they cough in a day is the y variable.
In linear regression, the y variable is referred to as the:

a) response variable.
b) correlation coefficient.
c) explanatory variable.
d) true variable.
Mathematics
1 answer:
makvit [3.9K]3 years ago
8 0

Answer:

a) response variable

Step-by-step explanation:

The response variable is the variable that depends on other variables such as the independent or explanatory variable, it is the variable that is being tested. The response variable is also called the dependent variable.

In linear regression, the y variable is referred to as the response variable while the x variable is referred to as the explanatory or independent variable.

In this case the y variable is "the number of times they cough in a day" and this variation depends on the x variable "number of cigarettes a person smokes in a day".

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mamaluj [8]
X + y + z = 2
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cancelando +y com -y:

x + z = 2*(-5)
x + 5z = 6

-5x -5z = -10
...x +5z = 6
---------------------
-4x = -4 *(-1)
4x = 4
x = 4/4
x = 1

x + z = 2
1 + z = 2
z = 2 - 1
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x + y + z = 2
1 + y + 1 = 2
2 + y = 2
y = 2 - 2
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S: {x, y, z} = {1, 0, 1}


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3 years ago
I will give brainliest if you answer this question !!!
yanalaym [24]

Answer:

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Step-by-step explanation:

Start off with the given information. The question states that the x-int. is 4, so you should recognize that there is a point at (4,0). Plug the point into the equation.

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Isolate the variable, make sure it's on its own side.

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Now get the k by itself to solve the equation. Divide both sides by 4.

k = 2

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I hope this helps :D

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