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 = -0.5 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Lacombe
8
81 kgParisien
21
64 kgRoth
22
70 kgZarate
52
70 kgGilbert
89
73 kg
8
81 kgParisien
21
64 kgRoth
22
70 kgZarate
52
70 kgGilbert
89
73 kg
Weight (KG) →
Result →
81
64
8
89
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | LACOMBE Keven | 81 |
| 21 | PARISIEN François | 64 |
| 22 | ROTH Ryan | 70 |
| 52 | ZARATE Jesús | 70 |
| 89 | GILBERT Martin | 73 |