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 = 0.2 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bölts
1
73 kgDelgado
2
64 kgRominger
3
65 kgZülle
4
72 kgZarrabeitia
5
63 kgRoche
10
74 kg
1
73 kgDelgado
2
64 kgRominger
3
65 kgZülle
4
72 kgZarrabeitia
5
63 kgRoche
10
74 kg
Weight (KG) →
Result →
74
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÖLTS Udo | 73 |
| 2 | DELGADO Pedro | 64 |
| 3 | ROMINGER Tony | 65 |
| 4 | ZÜLLE Alex | 72 |
| 5 | ZARRABEITIA Mikel | 63 |
| 10 | ROCHE Stephen | 74 |