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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Tusveld
1
70 kgVenturini
3
60 kgDraperi
4
70 kgCarisey
8
74 kgBouchard
12
63 kgChavanne
14
83 kgvan Empel
17
64 kg
1
70 kgVenturini
3
60 kgDraperi
4
70 kgCarisey
8
74 kgBouchard
12
63 kgChavanne
14
83 kgvan Empel
17
64 kg
Weight (KG) →
Result →
83
60
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUSVELD Martijn | 70 |
| 3 | VENTURINI Clément | 60 |
| 4 | DRAPERI Matteo | 70 |
| 8 | CARISEY Clément | 74 |
| 12 | BOUCHARD Geoffrey | 63 |
| 14 | CHAVANNE Gabriel | 83 |
| 17 | VAN EMPEL Etienne | 64 |