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 = 6.1 * weight - 378
This means that on average for every extra kilogram weight a rider loses 6.1 positions in the result.
Parisien
9
64 kgRoth
15
70 kgZarate
50
70 kgGilbert
101
73 kgLacombe
102
81 kg
9
64 kgRoth
15
70 kgZarate
50
70 kgGilbert
101
73 kgLacombe
102
81 kg
Weight (KG) →
Result →
81
64
9
102
| # | Rider | Weight (KG) |
|---|---|---|
| 9 | PARISIEN François | 64 |
| 15 | ROTH Ryan | 70 |
| 50 | ZARATE Jesús | 70 |
| 101 | GILBERT Martin | 73 |
| 102 | LACOMBE Keven | 81 |