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 = -0.5 * weight + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lasa
1
68 kgBaronchelli
5
72 kgPrim
6
76 kgSaronni
9
65 kgVandi
10
64 kgMarcussen
20
70 kgMount
21
66 kg
1
68 kgBaronchelli
5
72 kgPrim
6
76 kgSaronni
9
65 kgVandi
10
64 kgMarcussen
20
70 kgMount
21
66 kg
Weight (KG) →
Result →
76
64
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LASA Miguel María | 68 |
| 5 | BARONCHELLI Gianbattista | 72 |
| 6 | PRIM Tommy | 76 |
| 9 | SARONNI Giuseppe | 65 |
| 10 | VANDI Alfio | 64 |
| 20 | MARCUSSEN Jørgen | 70 |
| 21 | MOUNT George | 66 |