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 = -2.3 * weight + 223
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
Lacombe
30
81 kgZarate
45
70 kgRoth
65
70 kgParisien
76
64 kgGilbert
90
73 kg
30
81 kgZarate
45
70 kgRoth
65
70 kgParisien
76
64 kgGilbert
90
73 kg
Weight (KG) →
Result →
81
64
30
90
| # | Rider | Weight (KG) |
|---|---|---|
| 30 | LACOMBE Keven | 81 |
| 45 | ZARATE Jesús | 70 |
| 65 | ROTH Ryan | 70 |
| 76 | PARISIEN François | 64 |
| 90 | GILBERT Martin | 73 |