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 = 2.4 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Hinault
1
62 kgBernaudeau
4
64 kgDidier
20
67 kgNilsson
25
63 kgOvion
43
64 kg
1
62 kgBernaudeau
4
64 kgDidier
20
67 kgNilsson
25
63 kgOvion
43
64 kg
Weight (KG) →
Result →
67
62
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 4 | BERNAUDEAU Jean-René | 64 |
| 20 | DIDIER Lucien | 67 |
| 25 | NILSSON Sven-Åke | 63 |
| 43 | OVION Régis | 64 |