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 = 8.1 * weight - 482
This means that on average for every extra kilogram weight a rider loses 8.1 positions in the result.
Hinault
2
62 kgBernaudeau
8
64 kgOvion
56
64 kgDidier
62
67 kgNilsson
68
63 kg
2
62 kgBernaudeau
8
64 kgOvion
56
64 kgDidier
62
67 kgNilsson
68
63 kg
Weight (KG) →
Result →
67
62
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HINAULT Bernard | 62 |
| 8 | BERNAUDEAU Jean-René | 64 |
| 56 | OVION Régis | 64 |
| 62 | DIDIER Lucien | 67 |
| 68 | NILSSON Sven-Åke | 63 |