Question

For simple linear regression, y = β0 + β1x + u, which one of the following statements is true?

Answer 1

Answer:

Option a) u is called the "error term". It is the error we make in prediction

Option d) x is called the independent variable because x is independent from y and u.

Step-by-step explanation:

We are given the following information in the question:

$y = \beta_0 + \beta_1x + u$

where y is the dependent variable, x is the independent variable.

$\beta_0$: It is the value of y when x is zero, that is y-intercept.

$\beta_1$: It is the coefficient of x in predicting the dependent variable y.

u is the error term.

• An error term represents the margin of error.
• It refers to the sum of the deviations within the regression line, that is the difference between the predicted value and the observed value of y.

Thus, Option A) u is the error term and Option D)  x is called the independent variable because x is independent from y and u are the correct answer.