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 + 11
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Jalabert
1
66 kgRominger
2
65 kgZülle
3
72 kgZarrabeitia
4
63 kgDelgado
5
64 kg
1
66 kgRominger
2
65 kgZülle
3
72 kgZarrabeitia
4
63 kgDelgado
5
64 kg
Weight (KG) →
Result →
72
63
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JALABERT Laurent | 66 |
| 2 | ROMINGER Tony | 65 |
| 3 | ZÜLLE Alex | 72 |
| 4 | ZARRABEITIA Mikel | 63 |
| 5 | DELGADO Pedro | 64 |