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 + 4
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Belloni
1
75 kgBrunero
2
66 kgGremo
4
74 kgCanepari
6
62 kgPetiva
7
71 kgAlavoine
9
73 kgBuysse
10
72 kg
1
75 kgBrunero
2
66 kgGremo
4
74 kgCanepari
6
62 kgPetiva
7
71 kgAlavoine
9
73 kgBuysse
10
72 kg
Weight (KG) →
Result →
75
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BELLONI Gaetano | 75 |
| 2 | BRUNERO Giovanni | 66 |
| 4 | GREMO Angelo | 74 |
| 6 | CANEPARI Clemente | 62 |
| 7 | PETIVA Emilio | 71 |
| 9 | ALAVOINE Jean | 73 |
| 10 | BUYSSE Marcel | 72 |