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 = 4.1 * weight - 267
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Roth
8
70 kgGilbert
9
73 kgZarate
15
70 kgParisien
19
64 kgLacombe
85
81 kg
8
70 kgGilbert
9
73 kgZarate
15
70 kgParisien
19
64 kgLacombe
85
81 kg
Weight (KG) →
Result →
81
64
8
85
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | ROTH Ryan | 70 |
| 9 | GILBERT Martin | 73 |
| 15 | ZARATE Jesús | 70 |
| 19 | PARISIEN François | 64 |
| 85 | LACOMBE Keven | 81 |