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 = 1.5 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Duez
6
64 kgJanssen
14
76 kgBeheyt
25
71 kgRéaux
39
69 kgZoet
40
77 kgGodefroot
45
73 kg
6
64 kgJanssen
14
76 kgBeheyt
25
71 kgRéaux
39
69 kgZoet
40
77 kgGodefroot
45
73 kg
Weight (KG) →
Result →
77
64
6
45
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | DUEZ Henri | 64 |
| 14 | JANSSEN Jan | 76 |
| 25 | BEHEYT Benoni | 71 |
| 39 | RÉAUX Raymond | 69 |
| 40 | ZOET Bart | 77 |
| 45 | GODEFROOT Walter | 73 |