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 = 0.8 * weight - 29
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Bartali
2
69 kgOckers
5
61 kgCogan
9
68 kgBobet
27
74 kgCoppi
32
72 kgGoasmat
38
60 kgDerycke
66
70 kg
2
69 kgOckers
5
61 kgCogan
9
68 kgBobet
27
74 kgCoppi
32
72 kgGoasmat
38
60 kgDerycke
66
70 kg
Weight (KG) →
Result →
74
60
2
66
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BARTALI Gino | 69 |
| 5 | OCKERS Stan | 61 |
| 9 | COGAN Pierre | 68 |
| 27 | BOBET Louison | 74 |
| 32 | COPPI Fausto | 72 |
| 38 | GOASMAT Jean-Marie | 60 |
| 66 | DERYCKE Germain | 70 |