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

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Triston Davidson

Mathematics

26 June, 21:57

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

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Anya Pruitt · Answer 1

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