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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTENS Paul | 69 |
| 2 | MACHADO Tiago | 63 |
| 3 | BOS Theo | 77 |
| 4 | NIZZOLO Giacomo | 72 |
| 5 | SPRENGERS Thomas | 60 |
| 6 | CAVENDISH Mark | 70 |
| 7 | VAN ASBROECK Tom | 72 |
| 8 | COSTA Rui | 69 |
| 9 | BAZZANA Alessandro | 63.5 |
| 10 | CALDEIRA Samuel José | 76 |