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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROVES Kaden | 76 |
| 2 | STEWART Jake | 66 |
| 3 | DENIS Thomas | 67 |
| 4 | GARRISON Ian | 76 |
| 5 | MARIT Arne | 72 |
| 6 | PIDCOCK Thomas | 58 |
| 7 | SLOCK Liam | 78 |
| 8 | EEKHOFF Nils | 75 |
| 9 | SCOTT Robert | 73 |
| 10 | BEULLENS Cedric | 79 |
| 12 | BOUWMANS Dylan | 64 |
| 13 | FOUCHÉ James | 71 |