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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Duclos-Lassalle
13
73 kgHinault
15
62 kgBernaudeau
18
64 kgMartin
21
62 kg
13
73 kgHinault
15
62 kgBernaudeau
18
64 kgMartin
21
62 kg
Weight (KG) →
Result →
73
62
13
21
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | DUCLOS-LASSALLE Gilbert | 73 |
| 15 | HINAULT Bernard | 62 |
| 18 | BERNAUDEAU Jean-René | 64 |
| 21 | MARTIN Raymond | 62 |