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 = -0.6 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Prim
4
76 kgSaronni
5
65 kgBaronchelli
6
72 kgVandi
12
64 kgMarcussen
19
70 kgMount
20
66 kgMinetti
24
69 kg
4
76 kgSaronni
5
65 kgBaronchelli
6
72 kgVandi
12
64 kgMarcussen
19
70 kgMount
20
66 kgMinetti
24
69 kg
Weight (KG) →
Result →
76
64
4
24
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PRIM Tommy | 76 |
| 5 | SARONNI Giuseppe | 65 |
| 6 | BARONCHELLI Gianbattista | 72 |
| 12 | VANDI Alfio | 64 |
| 19 | MARCUSSEN Jørgen | 70 |
| 20 | MOUNT George | 66 |
| 24 | MINETTI Alberto | 69 |