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 = 2.7 * weight - 146
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
Ockers
1
61 kgBobet
4
74 kgGaul
10
64 kgDe Bruyne
59
68 kgDerycke
62
70 kgForestier
77
70 kg
1
61 kgBobet
4
74 kgGaul
10
64 kgDe Bruyne
59
68 kgDerycke
62
70 kgForestier
77
70 kg
Weight (KG) →
Result →
74
61
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OCKERS Stan | 61 |
| 4 | BOBET Louison | 74 |
| 10 | GAUL Charly | 64 |
| 59 | DE BRUYNE Alfred | 68 |
| 62 | DERYCKE Germain | 70 |
| 77 | FORESTIER Jean | 70 |