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 = 4.9 * weight - 327
This means that on average for every extra kilogram weight a rider loses 4.9 positions in the result.
Godefroot
4
73 kgJanssen
11
76 kgSteevens
17
73 kgForé
34
73 kgBeheyt
43
71 kgSchleck
59
72 kgRosiers
95
78 kg
4
73 kgJanssen
11
76 kgSteevens
17
73 kgForé
34
73 kgBeheyt
43
71 kgSchleck
59
72 kgRosiers
95
78 kg
Weight (KG) →
Result →
78
71
4
95
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GODEFROOT Walter | 73 |
| 11 | JANSSEN Jan | 76 |
| 17 | STEEVENS Harry | 73 |
| 34 | FORÉ Noël | 73 |
| 43 | BEHEYT Benoni | 71 |
| 59 | SCHLECK Johny | 72 |
| 95 | ROSIERS Roger | 78 |