Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WHITEHOUSE Daniel | 58 |
| 4 | SULZBERGER Wesley | 65 |
| 5 | PRADES Benjamín | 56 |
| 6 | MANULANG Robin | 59 |
| 7 | GARCÍA Ricardo | 68 |
| 9 | CAHYADI Aiman | 52 |
| 10 | FELIPE Marcelo | 58 |
| 12 | CRAWFORD Jai | 59 |