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 = -2.7 * weight + 224
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Lacombe
2
81 kgRoth
33
70 kgZarate
40
70 kgGilbert
46
73 kgParisien
49
64 kg
2
81 kgRoth
33
70 kgZarate
40
70 kgGilbert
46
73 kgParisien
49
64 kg
Weight (KG) →
Result →
81
64
2
49
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LACOMBE Keven | 81 |
| 33 | ROTH Ryan | 70 |
| 40 | ZARATE Jesús | 70 |
| 46 | GILBERT Martin | 73 |
| 49 | PARISIEN François | 64 |