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 = -1.2 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Ockers
5
61 kgCoppi
6
72 kgBartali
7
69 kgBobet
17
74 kgCogan
18
68 kgDerycke
30
70 kgGoasmat
49
60 kg
5
61 kgCoppi
6
72 kgBartali
7
69 kgBobet
17
74 kgCogan
18
68 kgDerycke
30
70 kgGoasmat
49
60 kg
Weight (KG) →
Result →
74
60
5
49
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | OCKERS Stan | 61 |
| 6 | COPPI Fausto | 72 |
| 7 | BARTALI Gino | 69 |
| 17 | BOBET Louison | 74 |
| 18 | COGAN Pierre | 68 |
| 30 | DERYCKE Germain | 70 |
| 49 | GOASMAT Jean-Marie | 60 |