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 = 0.3 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Sercu
1
76 kgMaertens
2
65 kgKarstens
6
74 kgGodefroot
10
73 kgOvion
12
64 kgRosiers
13
78 kgDemeyer
15
85 kg
1
76 kgMaertens
2
65 kgKarstens
6
74 kgGodefroot
10
73 kgOvion
12
64 kgRosiers
13
78 kgDemeyer
15
85 kg
Weight (KG) →
Result →
85
64
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SERCU Patrick | 76 |
| 2 | MAERTENS Freddy | 65 |
| 6 | KARSTENS Gerben | 74 |
| 10 | GODEFROOT Walter | 73 |
| 12 | OVION Régis | 64 |
| 13 | ROSIERS Roger | 78 |
| 15 | DEMEYER Marc | 85 |