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 = -1.2 * weight + 99
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Moser
1
79 kgPrim
6
76 kgMinetti
13
69 kgVandi
19
64 kgMount
21
66 kgSaronni
22
65 kgBaronchelli
27
72 kg
1
79 kgPrim
6
76 kgMinetti
13
69 kgVandi
19
64 kgMount
21
66 kgSaronni
22
65 kgBaronchelli
27
72 kg
Weight (KG) →
Result →
79
64
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSER Francesco | 79 |
| 6 | PRIM Tommy | 76 |
| 13 | MINETTI Alberto | 69 |
| 19 | VANDI Alfio | 64 |
| 21 | MOUNT George | 66 |
| 22 | SARONNI Giuseppe | 65 |
| 27 | BARONCHELLI Gianbattista | 72 |