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 = 0.7 * weight - 22
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Coppi
1
72 kgBartali
2
69 kgCogan
17
68 kgGoasmat
19
60 kgOckers
30
61 kgVietto
48
67 kgVan Steenbergen
49
83 kg
1
72 kgBartali
2
69 kgCogan
17
68 kgGoasmat
19
60 kgOckers
30
61 kgVietto
48
67 kgVan Steenbergen
49
83 kg
Weight (KG) →
Result →
83
60
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 2 | BARTALI Gino | 69 |
| 17 | COGAN Pierre | 68 |
| 19 | GOASMAT Jean-Marie | 60 |
| 30 | OCKERS Stan | 61 |
| 48 | VIETTO René | 67 |
| 49 | VAN STEENBERGEN Rik | 83 |