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 = -2.4 * weight + 204
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 6 | MCNALLY Mark | 72 |
| 7 | ARCHBOLD Shane | 79 |
| 11 | GATE Aaron | 71 |
| 16 | MCCONVEY Connor | 67 |
| 18 | CRAVEN Dan | 75 |
| 26 | ESPOSTI Paul | 67 |
| 29 | ANDERSON Jack | 68 |
| 30 | RICHARDSON Simon | 75 |
| 31 | WETTERHALL Alexander | 70 |
| 38 | NEWTON Christopher | 69 |
| 44 | MCEVOY Jonathan | 67 |
| 45 | HORTON Tobyn | 70 |
| 83 | O'LOUGHLIN David | 68 |
| 106 | RYAN Fergus | 72 |