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mash [69]
10 months ago
14

To test if x is a good predictor of y in Simple Linear Regression we need to determine whether:

Mathematics
1 answer:
I am Lyosha [343]10 months ago
4 0

Option A is correct.

For testing, if x is a significant predictor of y in simple linear regression, we need to determine if the <u>slope </u><u>is </u><u>significantly different </u><u>from</u><u> zero</u>.

What is linear regression?

A statistical technique known as linear regression is used to represent the connection between a scalar answer and one or more explanatory factors. When there is just one explanatory variable, simple linear regression is employed; when there are numerous explanatory variables, multiple linear regression is utilized.

Based on the value of another variable, linear regression analysis makes predictions about the value of the first variable. The dependent variable is the one you're trying to forecast. The independent variable is the one you are utilizing to make a prediction about the value of the other variable.

Find more on linear regression: brainly.com/question/25987747

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What equation is graphed in this figure?
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Answer:

The third equation: y+2=-3(x-1)

Step-by-step explanation:

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m=(y_{2} -y_{1})/ (x_{2} -x_{1})

Here, (x_{1},y_{1}) and (x_{2},y_{2}) are (-1,4) and (1,-2).

Therefore, slope is equal to, m=(-2-4 )/ (1-(-1)

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Now, equation of a straight line with slope m and points (x_{1},y_{1}) and (x_{2},y_{2}) is given as:

y-y_{1}=m(x-x_{1})\\y-y_{2}=m(x-x_{2})

Now, if we use the 2nd form, then x_{2}=1,y_{2}=-2.

So, the equation is given as :

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