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 = 5.5 * weight - 368
This means that on average for every extra kilogram weight a rider loses 5.5 positions in the result.
Impanis
1
69 kgPoulidor
22
71 kgVan Looy
24
73 kgForestier
29
70 kgCerami
38
72 kg
1
69 kgPoulidor
22
71 kgVan Looy
24
73 kgForestier
29
70 kgCerami
38
72 kg
Weight (KG) →
Result →
73
69
1
38
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IMPANIS Raymond | 69 |
| 22 | POULIDOR Raymond | 71 |
| 24 | VAN LOOY Rik | 73 |
| 29 | FORESTIER Jean | 70 |
| 38 | CERAMI Pino | 72 |