In a study of population growth, a researcher observed a curved (nonlinear) relationship between Year (x) and Population (y in 1000s). To linearize the relationship, the student decided to apply a logarithmic transformation. However, instead of transforming the independent variable (Year), the student mistakenly applied the log transformation to the Population values. What is the mistake in this approach?
| Year | Population (1000s) |
|---|---|
| 1980 | 44 |
| 1990 | 65 |
| 2000 | 101 |
| 2010 | 150 |
| 2020 | 230 |
They failed to center the data around the mean before applying the transformation.
They should have applied a square root transformation rather than a logarithmic one.
They transformed the dependent variable instead of the independent variable, thereby distorting the intended linear relationship.
They correctly applied the transformation to linearize the non‐linear relationship.
Question Leaderboard
Not enough data yet to show leaderboard.
APFIVE