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 - 19
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Goasmat
2
60 kgOckers
8
61 kgVan Steenbergen
19
83 kgCoppi
24
72 kgBartali
26
69 kgVietto
34
67 kgCogan
41
68 kg
2
60 kgOckers
8
61 kgVan Steenbergen
19
83 kgCoppi
24
72 kgBartali
26
69 kgVietto
34
67 kgCogan
41
68 kg
Weight (KG) →
Result →
83
60
2
41
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GOASMAT Jean-Marie | 60 |
| 8 | OCKERS Stan | 61 |
| 19 | VAN STEENBERGEN Rik | 83 |
| 24 | COPPI Fausto | 72 |
| 26 | BARTALI Gino | 69 |
| 34 | VIETTO René | 67 |
| 41 | COGAN Pierre | 68 |