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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELACROIX Tristan | 59 |
| 2 | BANASZEK Alan | 75 |
| 3 | DIVNIĆ Jovan | 64 |
| 4 | FINKŠT Tilen | 70 |
| 8 | GOUBERT Jean | 61 |
| 9 | ANDREEV Yordan | 63 |
| 10 | CLARKE Jonathan | 68 |
| 14 | HENNEQUIN Paul | 64 |
| 15 | STACHOWIAK Adam | 62 |
| 17 | STANISZEWSKI Daniel | 77 |
| 20 | BANASZEK Norbert | 75 |
| 22 | ZIHERL Luka | 74 |
| 24 | YIĞIT Tahir | 70 |
| 25 | MCGEOUGH Cormac | 76 |