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 = 0.3 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Beheyt
19
71 kgRostollan
28
68 kgForestier
31
70 kgLacombe
35
77 kgImpanis
39
69 kg
19
71 kgRostollan
28
68 kgForestier
31
70 kgLacombe
35
77 kgImpanis
39
69 kg
Weight (KG) →
Result →
77
68
19
39
| # | Rider | Weight (KG) |
|---|---|---|
| 19 | BEHEYT Benoni | 71 |
| 28 | ROSTOLLAN Louis | 68 |
| 31 | FORESTIER Jean | 70 |
| 35 | LACOMBE Roland | 77 |
| 39 | IMPANIS Raymond | 69 |