Question

What measurement scale do we use for predictors in a linear regression?

1) Nominal scale
2) Ordinal scale
3) Interval scale
4) Ratio scale

Answer 1

In a linear regression, predictor variables can be measured on either an interval scale or a ratio scale, as both provide the quantitative data necessary for numerical computations within the regression analysis.

Step-by-step explanation:

The measurement scales used for predictors in linear regression can vary depending on the nature of the predictor variables. Linear regression itself requires numerical input, which means that the predictor variable should be on a quantitative scale such as interval scale or ratio scale.

Let us understand the different scales:

For linear regression, an interval scale or ratio scale is appropriate because these scales provide meaningful numbers that can compute differences and, in the case of ratio scales, ratios. This is crucial for the regression analysis which relies on numerical computations.