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 = 0.7 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Solomon
1
66 kgSaidi
9
68 kgClain
11
59 kgLagab
19
63 kgDevroye
25
78 kgAkanga
37
67 kg
1
66 kgSaidi
9
68 kgClain
11
59 kgLagab
19
63 kgDevroye
25
78 kgAkanga
37
67 kg
Weight (KG) →
Result →
78
59
1
37
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOLOMON Zemenfes | 66 |
| 9 | SAIDI Nassim | 68 |
| 11 | CLAIN Médéric | 59 |
| 19 | LAGAB Azzedine | 63 |
| 25 | DEVROYE Kim | 78 |
| 37 | AKANGA Abdou Raouf | 67 |