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 = -1.1 * weight + 83
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Leysen
1
75 kgWauters
3
73 kgDe Clercq
7
66 kgJulich
11
68 kgBaguet
13
67 kg
1
75 kgWauters
3
73 kgDe Clercq
7
66 kgJulich
11
68 kgBaguet
13
67 kg
Weight (KG) →
Result →
75
66
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEYSEN Bart | 75 |
| 3 | WAUTERS Marc | 73 |
| 7 | DE CLERCQ Mario | 66 |
| 11 | JULICH Bobby | 68 |
| 13 | BAGUET Serge | 67 |