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 - 53
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Coppi
1
72 kgOckers
5
61 kgCogan
18
68 kgGoasmat
25
60 kgBobet
37
74 kgDerycke
64
70 kg
1
72 kgOckers
5
61 kgCogan
18
68 kgGoasmat
25
60 kgBobet
37
74 kgDerycke
64
70 kg
Weight (KG) →
Result →
74
60
1
64
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COPPI Fausto | 72 |
| 5 | OCKERS Stan | 61 |
| 18 | COGAN Pierre | 68 |
| 25 | GOASMAT Jean-Marie | 60 |
| 37 | BOBET Louison | 74 |
| 64 | DERYCKE Germain | 70 |