Question

question 1-6
what interpretation may not be made from a line of best fit?
○ the standard error is small.
○ a correlation exists between variables.
○ the data are not well modeled by a linear function.
○ a change in one variable causes a change to another variable.

Explanation:

A line of best fit shows a relationship (correlation) between variables, but correlation does not imply causation. A small standard error or non - linear data don't prevent interpretation, but assuming causation from correlation (a line of best fit's relationship) is incorrect. So the interpretation that a change in one variable causes a change in another can't be made from a line of best fit.

Answer:

A. A CHANGE IN ONE VARIABLE CAUSES A CHANGE TO ANOTHER VARIABLE.