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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Van Looy
1
75 kgMaertens
2
65 kgvan Katwijk
3
75 kgDemeyer
6
85 kgPollentier
15
62 kgKuiper
17
69 kgRosiers
21
78 kg
1
75 kgMaertens
2
65 kgvan Katwijk
3
75 kgDemeyer
6
85 kgPollentier
15
62 kgKuiper
17
69 kgRosiers
21
78 kg
Weight (KG) →
Result →
85
62
1
21
# | Rider | Weight (KG) |
---|---|---|
1 | VAN LOOY Frans | 75 |
2 | MAERTENS Freddy | 65 |
3 | VAN KATWIJK Fons | 75 |
6 | DEMEYER Marc | 85 |
15 | POLLENTIER Michel | 62 |
17 | KUIPER Hennie | 69 |
21 | ROSIERS Roger | 78 |