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 + 87
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RODRIGUEZ Fred | 68 |
| 5 | MCRAE William Chann | 62 |
| 6 | SILOVS Juris | 79 |
| 8 | HINCAPIE George | 83 |
| 11 | HEGG Steve | 70 |
| 12 | ANDREU Frankie | 77 |
| 18 | MILLER Graeme | 72 |
| 24 | HAMILTON Tyler | 65 |
| 29 | JULICH Bobby | 68 |
| 31 | ARMSTRONG Lance | 72 |
| 36 | JEMISON Marty | 71 |
| 42 | VAINŠTEINS Romāns | 72 |
| 50 | MCCORMACK Alan | 57 |