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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Barthe
1
65 kgZabel
2
69 kgCasagrande
3
63 kgSmetanine
4
69 kgJalabert
8
66 kgEtxebarria
9
68 kgBoogerd
10
62 kg
1
65 kgZabel
2
69 kgCasagrande
3
63 kgSmetanine
4
69 kgJalabert
8
66 kgEtxebarria
9
68 kgBoogerd
10
62 kg
Weight (KG) →
Result →
69
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARTHE Stéphane | 65 |
| 2 | ZABEL Erik | 69 |
| 3 | CASAGRANDE Filippo | 63 |
| 4 | SMETANINE Serguei | 69 |
| 8 | JALABERT Laurent | 66 |
| 9 | ETXEBARRIA Unai | 68 |
| 10 | BOOGERD Michael | 62 |