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 = 1 * weight - 63
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SMITH Dion | 67 |
| 2 | ORAM James | 68 |
| 3 | GUERREIRO Ruben | 65 |
| 4 | DANIEL Gregory | 64 |
| 5 | SWIRBUL Keegan | 65 |
| 6 | CATAFORD Alexander | 70 |
| 7 | OWEN Logan | 67 |
| 10 | PERRY Benjamin | 71 |
| 13 | PLANET Charles | 71 |
| 14 | CARTHY Hugh | 69 |
| 15 | BENITO Miguel Ángel | 67 |