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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | RENSHAW Mark | 74 |
| 3 | WIPPERT Wouter | 75 |
| 4 | KUMP Marko | 68 |
| 5 | BLYTHE Adam | 68 |
| 6 | GOUGEARD Alexis | 70 |
| 7 | NIZZOLO Giacomo | 72 |
| 8 | SWIFT Ben | 69 |
| 9 | VON HOFF Steele | 70 |
| 10 | ROJAS José Joaquín | 70 |
| 11 | HENDERSON Gregory | 75 |
| 13 | KEIZER Martijn | 72 |