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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARVESEN Kurt-Asle | 74 |
| 2 | BÄCKSTEDT Magnus | 94 |
| 3 | JOHANSEN Allan | 78 |
| 4 | SANDSTØD Michael | 74 |
| 7 | ROBERTS Luke | 71 |
| 10 | VANDBORG Brian Bach | 75 |
| 12 | REIHS Michael | 75 |
| 13 | BAK Lars Ytting | 76 |
| 15 | RASMUSSEN Michael | 58 |
| 16 | OMLOOP Geert | 78 |
| 17 | WEENING Pieter | 68 |
| 19 | BARTOLI Michele | 65 |
| 20 | SUNDERLAND Scott | 65 |
| 21 | GLASNER Björn | 72 |