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 = -3.4 * weight + 274
This means that on average for every extra kilogram weight a rider loses -3.4 positions in the result.
Ahlstrand
6
72 kgDebusschere
8
77 kgThill
10
73 kgSelig
19
80 kgSagan
21
78 kgLammertink
74
61 kgMahďar
75
61 kg
6
72 kgDebusschere
8
77 kgThill
10
73 kgSelig
19
80 kgSagan
21
78 kgLammertink
74
61 kgMahďar
75
61 kg
Weight (KG) →
Result →
80
61
6
75
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | AHLSTRAND Jonas | 72 |
| 8 | DEBUSSCHERE Jens | 77 |
| 10 | THILL Tom | 73 |
| 19 | SELIG Rüdiger | 80 |
| 21 | SAGAN Peter | 78 |
| 74 | LAMMERTINK Maurits | 61 |
| 75 | MAHĎAR Martin | 61 |