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 - 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Martano
1
74 kgDebenne
2
64 kgLapébie
3
74 kgNeuville
4
80 kgCarini
5
69 kgLowie
6
68 kgLe Grevès
8
70 kgRossi
10
76 kg
1
74 kgDebenne
2
64 kgLapébie
3
74 kgNeuville
4
80 kgCarini
5
69 kgLowie
6
68 kgLe Grevès
8
70 kgRossi
10
76 kg
Weight (KG) →
Result →
80
64
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTANO Giuseppe | 74 |
| 2 | DEBENNE René | 64 |
| 3 | LAPÉBIE Roger | 74 |
| 4 | NEUVILLE François | 80 |
| 5 | CARINI Bruno | 69 |
| 6 | LOWIE Jules | 68 |
| 8 | LE GREVÈS René | 70 |
| 10 | ROSSI Giulio | 76 |