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 = 1.2 * weight - 67
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VLOT Mees | 57 |
| 5 | REMIJN Senna | 68 |
| 7 | ZOMERMAAND Jurgen | 67 |
| 13 | SCHAPER Joeri | 69 |
| 15 | UPTEGROVE Ed | 68 |
| 17 | MOLENAAR Ko | 68 |
| 23 | NAGENGAST Ruud Junior | 62 |
| 36 | VAN DER LINDEN Sjoerd | 73 |