Question

Which of the following statements is NOT true?

a. When we interpret an intercept, we plug in zero for all of the X variables
b. Least squares estimation is the process by which we reduce the errors as much as possible
c. The phrase on average is not always used when interpreting model coefficients
d. R does not require distributional assumptions to find the line of best fit

Answer 1

The phrase 'on average' is not always used when interpreting model coefficients.

Step-by-step explanation:

The correct answer is c. The phrase on average is not always used when interpreting model coefficients.

When interpreting the intercept in a regression model, we plug in zero for all of the X variables to find the estimated value of the dependent variable.

Least squares estimation is indeed the process by which we minimize the errors between the observed and predicted values in a regression model.

The phrase 'on average' is commonly used when interpreting model coefficients in regression analysis, to indicate that the interpretation is valid on average for the given population.

R, a programming language commonly used for statistical analysis, does not require distributional assumptions to find the line of best fit in a regression model.