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 - 17
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Cuvelier
2
65 kgCañardo
3
77 kgAerts
4
70 kgCardona
5
68 kgBresciani
7
74 kgBisseron
9
80 kg
2
65 kgCañardo
3
77 kgAerts
4
70 kgCardona
5
68 kgBresciani
7
74 kgBisseron
9
80 kg
Weight (KG) →
Result →
80
65
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CUVELIER Georges | 65 |
| 3 | CAÑARDO Mariano | 77 |
| 4 | AERTS Jean | 70 |
| 5 | CARDONA Salvador | 68 |
| 7 | BRESCIANI Arturo | 74 |
| 9 | BISSERON Roger | 80 |