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 = -0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Conti
4
79 kgRiccomi
5
66 kgDe Vlaeminck
6
74 kgParecchini
15
71 kgVianelli
23
73 kg
4
79 kgRiccomi
5
66 kgDe Vlaeminck
6
74 kgParecchini
15
71 kgVianelli
23
73 kg
Weight (KG) →
Result →
79
66
4
23
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CONTI Tino | 79 |
| 5 | RICCOMI Walter | 66 |
| 6 | DE VLAEMINCK Roger | 74 |
| 15 | PARECCHINI Aldo | 71 |
| 23 | VIANELLI Pierfranco | 73 |