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 = 0.9 * weight - 50
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'NEILL Nathan | 72 |
| 2 | DAY Benjamin | 68 |
| 5 | MCCANN David | 73 |
| 6 | DANGERFIELD Stuart | 65 |
| 7 | TUFT Svein | 77 |
| 9 | MANNING Paul | 76 |
| 10 | GEORGE David | 61 |
| 13 | BELL Zach | 75 |
| 14 | CUMMINGS Steve | 73 |
| 17 | FROOME Chris | 68 |
| 18 | CRAVEN Dan | 75 |
| 20 | BRAMMEIER Matt | 72 |
| 32 | LINCOLN Yannick | 75 |
| 39 | HAVELAND Sigurd | 70 |
| 41 | BRYAN Charles | 81 |