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 = -2.4 * weight + 194
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
Gilbert
1
73 kgLacombe
2
81 kgZarate
25
70 kgRoth
31
70 kgParisien
40
64 kg
1
73 kgLacombe
2
81 kgZarate
25
70 kgRoth
31
70 kgParisien
40
64 kg
Weight (KG) →
Result →
81
64
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILBERT Martin | 73 |
| 2 | LACOMBE Keven | 81 |
| 25 | ZARATE Jesús | 70 |
| 31 | ROTH Ryan | 70 |
| 40 | PARISIEN François | 64 |