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 = 5.9 * weight - 368
This means that on average for every extra kilogram weight a rider loses 5.9 positions in the result.
Parisien
11
64 kgZarate
19
70 kgRoth
29
70 kgGilbert
97
73 kgLacombe
98
81 kg
11
64 kgZarate
19
70 kgRoth
29
70 kgGilbert
97
73 kgLacombe
98
81 kg
Weight (KG) →
Result →
81
64
11
98
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | PARISIEN François | 64 |
| 19 | ZARATE Jesús | 70 |
| 29 | ROTH Ryan | 70 |
| 97 | GILBERT Martin | 73 |
| 98 | LACOMBE Keven | 81 |