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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CORT Magnus | 68 |
| 2 | DE BUYST Jasper | 72 |
| 3 | VAN ASBROECK Tom | 72 |
| 4 | AGNOLI Valerio | 72 |
| 5 | RUFFONI Nicola | 70 |
| 6 | DE BIE Sean | 65 |
| 7 | PIECHELE Andrea | 71 |
| 8 | KUMP Marko | 68 |
| 9 | MURPHY John | 81 |
| 10 | VAN DER SANDE Tosh | 67 |
| 12 | QUAADE Rasmus | 77 |
| 13 | HABEAUX Grégory | 68 |
| 14 | AAEN JØRGENSEN Jonas | 63 |
| 15 | BAK Lars Ytting | 76 |
| 16 | WILLIAMS Christopher | 75 |