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Which of the following are true about regression with one predictor variable (often called ""simple regression"")? check all that apply.

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Answer:

A. The slope describes the amount of change in Y for a one-unit increase in X

B. The regression equation is the line that best fits a set of data as determined by having the least squared error.

Explanation:

Options:

A) The slope describes the amount of change in Y for a one-unit increase in X

B. The regression equation is the line that best fits a set of data as determined by having the least squared error

C. The slope, b, of the regression equation has the same value as r, the estimated correlation

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The options that are true about regression with one predictor variable include:

  • A. The slope describes the amount of change in Y for a one-unit increase in X
  • B. The regression equation is the line that best fits a set of data as determined by having the least squared error.

Regression simply refers to a statistical measurement which attempts to determine the strength that exists between a dependent variable and the independent variables.

It should be noted that in one predictor variable, the slope describes the amount of change in Y for a one-unit increase in X and the regression equation is the line that best fits a set of data as determined by having the least squared error.

Therefore, the correct answers are A and B.

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(Hope this helps can I pls have brainlist (crown)☺️)

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