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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Museeuw
1
71 kgDe Clercq
2
80 kgPeeters
3
76 kgBomans
5
74 kgDemol
13
72 kgDe Wilde
14
70 kgOmloop
20
78 kg
1
71 kgDe Clercq
2
80 kgPeeters
3
76 kgBomans
5
74 kgDemol
13
72 kgDe Wilde
14
70 kgOmloop
20
78 kg
Weight (KG) →
Result →
80
70
1
20
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 2 | DE CLERCQ Hans | 80 |
| 3 | PEETERS Wilfried | 76 |
| 5 | BOMANS Carlo | 74 |
| 13 | DEMOL Dirk | 72 |
| 14 | DE WILDE Etienne | 70 |
| 20 | OMLOOP Geert | 78 |