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 = -1.8 * weight + 164
This means that on average for every extra kilogram weight a rider loses -1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 2 | CRAVEN Dan | 75 |
| 3 | ARCHBOLD Shane | 79 |
| 7 | ANDERSON Jack | 68 |
| 10 | MCEVOY Jonathan | 67 |
| 21 | MCCONVEY Connor | 67 |
| 24 | HORTON Tobyn | 70 |
| 30 | MCNALLY Mark | 72 |
| 36 | GATE Aaron | 71 |
| 40 | NEWTON Christopher | 69 |
| 41 | WETTERHALL Alexander | 70 |
| 46 | ESPOSTI Paul | 67 |
| 48 | RICHARDSON Simon | 75 |
| 69 | O'LOUGHLIN David | 68 |
| 134 | RYAN Fergus | 72 |