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 = 0.9 * weight - 54
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
van Hummel
1
64 kgVeelers
3
75 kgVastaranta
4
63 kgvan Leijen
6
73 kgRooijakkers
16
68 kgStamsnijder
28
76 kg
1
64 kgVeelers
3
75 kgVastaranta
4
63 kgvan Leijen
6
73 kgRooijakkers
16
68 kgStamsnijder
28
76 kg
Weight (KG) →
Result →
76
63
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN HUMMEL Kenny | 64 |
| 3 | VEELERS Tom | 75 |
| 4 | VASTARANTA Jukka | 63 |
| 6 | VAN LEIJEN Joost | 73 |
| 16 | ROOIJAKKERS Piet | 68 |
| 28 | STAMSNIJDER Tom | 76 |