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 = 0.4 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Coppi
1
72 kgBartali
2
69 kgOckers
7
61 kgCogan
10
68 kgGoasmat
22
60 kgVietto
28
67 kgVan Steenbergen
29
83 kg
1
72 kgBartali
2
69 kgOckers
7
61 kgCogan
10
68 kgGoasmat
22
60 kgVietto
28
67 kgVan Steenbergen
29
83 kg
Weight (KG) →
Result →
83
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 2 | BARTALI Gino | 69 |
| 7 | OCKERS Stan | 61 |
| 10 | COGAN Pierre | 68 |
| 22 | GOASMAT Jean-Marie | 60 |
| 28 | VIETTO René | 67 |
| 29 | VAN STEENBERGEN Rik | 83 |