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 = -1.1 * weight + 94
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Van Steenbergen
1
83 kgOckers
2
61 kgBartali
5
69 kgCoppi
8
72 kgCogan
35
68 kgGoasmat
36
60 kgVietto
52
67 kg
1
83 kgOckers
2
61 kgBartali
5
69 kgCoppi
8
72 kgCogan
35
68 kgGoasmat
36
60 kgVietto
52
67 kg
Weight (KG) →
Result →
83
60
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN STEENBERGEN Rik | 83 |
| 2 | OCKERS Stan | 61 |
| 5 | BARTALI Gino | 69 |
| 8 | COPPI Fausto | 72 |
| 35 | COGAN Pierre | 68 |
| 36 | GOASMAT Jean-Marie | 60 |
| 52 | VIETTO René | 67 |