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 - 125
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | O'LOUGHLIN David | 68 |
| 2 | RICHARDSON Simon | 75 |
| 5 | DEGENKOLB John | 82 |
| 8 | CRAVEN Dan | 75 |
| 16 | MCNALLY Mark | 72 |
| 19 | MCCONVEY Connor | 67 |
| 20 | ANDERSON Jack | 68 |
| 24 | ESPOSTI Paul | 67 |
| 29 | WETTERHALL Alexander | 70 |
| 33 | NEWTON Christopher | 69 |
| 42 | GATE Aaron | 71 |
| 60 | ARCHBOLD Shane | 79 |
| 70 | MCEVOY Jonathan | 67 |
| 117 | HORTON Tobyn | 70 |
| 144 | RYAN Fergus | 72 |
| 146 | SCULLY Tom | 85 |