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 = 0.6 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DEGENKOLB John | 82 |
| 7 | CRAVEN Dan | 75 |
| 9 | MCEVOY Jonathan | 67 |
| 10 | O'LOUGHLIN David | 68 |
| 12 | RICHARDSON Simon | 75 |
| 13 | WETTERHALL Alexander | 70 |
| 14 | MCCONVEY Connor | 67 |
| 18 | NEWTON Christopher | 69 |
| 27 | HORTON Tobyn | 70 |
| 28 | GATE Aaron | 71 |
| 31 | ANDERSON Jack | 68 |
| 36 | ESPOSTI Paul | 67 |
| 57 | MCNALLY Mark | 72 |
| 65 | ARCHBOLD Shane | 79 |
| 127 | RYAN Fergus | 72 |