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 = -0.4 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Madiot
9
68 kgJourdan
16
64 kgDuclos-Lassalle
26
73 kgBernaudeau
27
64 kgBittinger
47
69 kgBourreau
48
63 kg
9
68 kgJourdan
16
64 kgDuclos-Lassalle
26
73 kgBernaudeau
27
64 kgBittinger
47
69 kgBourreau
48
63 kg
Weight (KG) →
Result →
73
63
9
48
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | MADIOT Marc | 68 |
| 16 | JOURDAN Christian | 64 |
| 26 | DUCLOS-LASSALLE Gilbert | 73 |
| 27 | BERNAUDEAU Jean-René | 64 |
| 47 | BITTINGER René | 69 |
| 48 | BOURREAU Bernard | 63 |