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 * weight + 7
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Hinault
1
62 kgMoser
2
79 kgPrim
4
76 kgVan Impe
9
59 kgCaroli
10
77 kg
1
62 kgMoser
2
79 kgPrim
4
76 kgVan Impe
9
59 kgCaroli
10
77 kg
Weight (KG) →
Result →
79
59
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HINAULT Bernard | 62 |
| 2 | MOSER Francesco | 79 |
| 4 | PRIM Tommy | 76 |
| 9 | VAN IMPE Lucien | 59 |
| 10 | CAROLI Daniele | 77 |