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Yuri [45]
3 years ago
12

Which of the following are true about regression with one predictor variable (often called "simple regression")? A. After conduc

ting a hypothesis test to test that the slope of the regression equation is nonzero, you can conclude that your predictor variable, X, causes Y B. The standardized regression coefficient, beta, has the same value as r, the estimated correlation C. The intercept in the regression equation Y= a + bx is the value of Y when X is zero
Mathematics
1 answer:
jeyben [28]3 years ago
3 0

Answer:

A

Step-by-step explanation:

Simple linear regression is a statistical method that summarizes and study relationships between two continuous quantitative variables.

One variable is regarded as the predictor, explanatory, or independent variable and the other variable is regarded as the response, outcome, or dependent variable.

Two variables can be denoted by X and Y.

Among the given options, the correct option is A. After conducting a hypothesis test to test that the slope of the regression equation is nonzero, you can conclude that your predictor variable, X, causes Y

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Hello!

The greatest common factor (GCF) is self explanatory. We find the factors of each number, and find the largest ones that are in common

12: 1,12,2,6,3,4

33:1,33,3,11,

As you can see, the greatest number these two have in common is 3.

Now for the next set.

45: 1,45,3,15,5,9

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As you can see, our GCF is 5.

Therefore, our answers are below.

9) 3

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I hope this helps!

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