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 = 3.3 * weight - 210
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Parisien
2
64 kgRoth
6
70 kgZarate
16
70 kgLacombe
50
81 kgGilbert
63
73 kg
2
64 kgRoth
6
70 kgZarate
16
70 kgLacombe
50
81 kgGilbert
63
73 kg
Weight (KG) →
Result →
81
64
2
63
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PARISIEN François | 64 |
| 6 | ROTH Ryan | 70 |
| 16 | ZARATE Jesús | 70 |
| 50 | LACOMBE Keven | 81 |
| 63 | GILBERT Martin | 73 |