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 + 68
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Duclos-Lassalle
1
73 kgJourdan
8
64 kgBittinger
30
69 kgMatějka
42
56 kgBernaudeau
43
64 kgYates
48
74 kgBolay
59
68 kg
1
73 kgJourdan
8
64 kgBittinger
30
69 kgMatějka
42
56 kgBernaudeau
43
64 kgYates
48
74 kgBolay
59
68 kg
Weight (KG) →
Result →
74
56
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | JOURDAN Christian | 64 |
| 30 | BITTINGER René | 69 |
| 42 | MATĚJKA Libor | 56 |
| 43 | BERNAUDEAU Jean-René | 64 |
| 48 | YATES Sean | 74 |
| 59 | BOLAY Sylvain | 68 |