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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ALAPHILIPPE Julian | 62 |
| 2 | MAESTRI Mirco | 73 |
| 3 | VAN AVERMAET Greg | 74 |
| 4 | BETTIOL Alberto | 69 |
| 5 | BENOOT Tiesj | 72 |
| 6 | YATES Adam | 58 |
| 7 | SCHÖNBERGER Sebastian | 64 |
| 8 | CONTI Valerio | 61 |
| 9 | ROGLIČ Primož | 65 |
| 10 | KURIANOV Stepan | 74 |
| 11 | POELS Wout | 66 |
| 12 | FUGLSANG Jakob | 67 |
| 13 | IRIZAR Markel | 73 |
| 14 | WELLENS Tim | 71 |