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 = -5.6 * weight + 415
This means that on average for every extra kilogram weight a rider loses -5.6 positions in the result.
Forestier
3
70 kgBobet
11
74 kgErnzer
15
69 kgImpanis
16
69 kgBartali
35
69 kgDe Bruyne
65
68 kg
3
70 kgBobet
11
74 kgErnzer
15
69 kgImpanis
16
69 kgBartali
35
69 kgDe Bruyne
65
68 kg
Weight (KG) →
Result →
74
68
3
65
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FORESTIER Jean | 70 |
| 11 | BOBET Louison | 74 |
| 15 | ERNZER Marcel | 69 |
| 16 | IMPANIS Raymond | 69 |
| 35 | BARTALI Gino | 69 |
| 65 | DE BRUYNE Alfred | 68 |