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 = 4.8 * weight - 298
This means that on average for every extra kilogram weight a rider loses 4.8 positions in the result.
Parisien
9
64 kgZarate
23
70 kgRoth
24
70 kgLacombe
80
81 kgGilbert
91
73 kg
9
64 kgZarate
23
70 kgRoth
24
70 kgLacombe
80
81 kgGilbert
91
73 kg
Weight (KG) →
Result →
81
64
9
91
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | PARISIEN François | 64 |
| 23 | ZARATE Jesús | 70 |
| 24 | ROTH Ryan | 70 |
| 80 | LACOMBE Keven | 81 |
| 91 | GILBERT Martin | 73 |