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 = 0.3 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Cogan
1
68 kgArchambaud
2
66 kgKint
3
74 kgFontenay
4
67 kgBerty
6
76 kgPuppo
7
70 kgDeloor
8
72 kg
1
68 kgArchambaud
2
66 kgKint
3
74 kgFontenay
4
67 kgBerty
6
76 kgPuppo
7
70 kgDeloor
8
72 kg
Weight (KG) →
Result →
76
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COGAN Pierre | 68 |
| 2 | ARCHAMBAUD Maurice | 66 |
| 3 | KINT Marcel | 74 |
| 4 | FONTENAY Jean | 67 |
| 6 | BERTY Charles | 76 |
| 7 | PUPPO Henri | 70 |
| 8 | DELOOR Alfons | 72 |