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 + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Fondriest
1
70 kgVirenque
6
65 kgZamana
8
74 kgJalabert
12
66 kgNevens
13
58 kgRous
14
70 kg
1
70 kgVirenque
6
65 kgZamana
8
74 kgJalabert
12
66 kgNevens
13
58 kgRous
14
70 kg
Weight (KG) →
Result →
74
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 6 | VIRENQUE Richard | 65 |
| 8 | ZAMANA Cezary | 74 |
| 12 | JALABERT Laurent | 66 |
| 13 | NEVENS Jan | 58 |
| 14 | ROUS Didier | 70 |