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 = 0.1 * weight + 22
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Madiot
2
68 kgBourreau
28
63 kgDuclos-Lassalle
42
73 kgBernaudeau
45
64 kg
2
68 kgBourreau
28
63 kgDuclos-Lassalle
42
73 kgBernaudeau
45
64 kg
Weight (KG) →
Result →
73
63
2
45
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MADIOT Marc | 68 |
| 28 | BOURREAU Bernard | 63 |
| 42 | DUCLOS-LASSALLE Gilbert | 73 |
| 45 | BERNAUDEAU Jean-René | 64 |