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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ACKERMANN Pascal | 78 |
| 2 | GAVIRIA Fernando | 71 |
| 3 | CORT Magnus | 68 |
| 4 | SAJNOK Szymon | 75 |
| 5 | CIMOLAI Davide | 70 |
| 6 | MARTENS Paul | 69 |
| 7 | VENDRAME Andrea | 60 |
| 8 | RICKAERT Jonas | 88 |
| 9 | PELLAUD Simon | 70 |
| 10 | SEIGLE Romain | 63 |
| 11 | MATTHEWS Michael | 72 |
| 12 | ALLEGAERT Piet | 70 |
| 13 | EENKHOORN Pascal | 72 |
| 14 | BOARO Manuele | 64 |