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 = 1.7 * weight - 100
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Parisien
1
64 kgRoth
2
70 kgZarate
23
70 kgLacombe
24
81 kgGilbert
60
73 kg
1
64 kgRoth
2
70 kgZarate
23
70 kgLacombe
24
81 kgGilbert
60
73 kg
Weight (KG) →
Result →
81
64
1
60
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARISIEN François | 64 |
| 2 | ROTH Ryan | 70 |
| 23 | ZARATE Jesús | 70 |
| 24 | LACOMBE Keven | 81 |
| 60 | GILBERT Martin | 73 |