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 + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Moser
2
79 kgde Rooij
7
69 kgVandi
8
64 kgPrim
15
76 kgBaronchelli
22
72 kgSaronni
27
65 kg
2
79 kgde Rooij
7
69 kgVandi
8
64 kgPrim
15
76 kgBaronchelli
22
72 kgSaronni
27
65 kg
Weight (KG) →
Result →
79
64
2
27
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOSER Francesco | 79 |
| 7 | DE ROOIJ Theo | 69 |
| 8 | VANDI Alfio | 64 |
| 15 | PRIM Tommy | 76 |
| 22 | BARONCHELLI Gianbattista | 72 |
| 27 | SARONNI Giuseppe | 65 |