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 * weight - 100
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRAVEN Dan | 75 |
| 2 | MCNALLY Mark | 72 |
| 6 | WETTERHALL Alexander | 70 |
| 9 | DEGENKOLB John | 82 |
| 15 | ANDERSON Jack | 68 |
| 19 | RICHARDSON Simon | 75 |
| 20 | O'LOUGHLIN David | 68 |
| 21 | MCCONVEY Connor | 67 |
| 23 | MAS Lluís | 69 |
| 27 | NEWTON Christopher | 69 |
| 28 | HORTON Tobyn | 70 |
| 38 | ESPOSTI Paul | 67 |
| 68 | MCEVOY Jonathan | 67 |
| 93 | GATE Aaron | 71 |
| 97 | SCULLY Tom | 85 |
| 98 | ARCHBOLD Shane | 79 |
| 147 | RYAN Fergus | 72 |