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.
Solleveld
2
93 kgDuclos-Lassalle
5
73 kgPrim
8
76 kgNijdam
11
70 kgYates
13
74 kgHinault
19
62 kg
2
93 kgDuclos-Lassalle
5
73 kgPrim
8
76 kgNijdam
11
70 kgYates
13
74 kgHinault
19
62 kg
Weight (KG) →
Result →
93
62
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOLLEVELD Gerrit | 93 |
| 5 | DUCLOS-LASSALLE Gilbert | 73 |
| 8 | PRIM Tommy | 76 |
| 11 | NIJDAM Jelle | 70 |
| 13 | YATES Sean | 74 |
| 19 | HINAULT Bernard | 62 |