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 = -4.6 * weight + 356
This means that on average for every extra kilogram weight a rider loses -4.6 positions in the result.
Lacombe
1
81 kgGilbert
4
73 kgZarate
10
70 kgRoth
35
70 kgParisien
85
64 kg
1
81 kgGilbert
4
73 kgZarate
10
70 kgRoth
35
70 kgParisien
85
64 kg
Weight (KG) →
Result →
81
64
1
85
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LACOMBE Keven | 81 |
| 4 | GILBERT Martin | 73 |
| 10 | ZARATE Jesús | 70 |
| 35 | ROTH Ryan | 70 |
| 85 | PARISIEN François | 64 |