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 = 0.3 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Parisien
1
64 kgWohlberg
2
63 kgHesjedal
4
73 kgTuft
9
77 kgŁukaszewicz
15
63 kgGilbert
17
73 kg
1
64 kgWohlberg
2
63 kgHesjedal
4
73 kgTuft
9
77 kgŁukaszewicz
15
63 kgGilbert
17
73 kg
Weight (KG) →
Result →
77
63
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARISIEN François | 64 |
| 2 | WOHLBERG Eric | 63 |
| 4 | HESJEDAL Ryder | 73 |
| 9 | TUFT Svein | 77 |
| 15 | ŁUKASZEWICZ Czesław | 63 |
| 17 | GILBERT Martin | 73 |