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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Saidi
1
68 kgSolomon
5
66 kgClain
6
59 kgDevroye
14
78 kgLagab
25
63 kg
1
68 kgSolomon
5
66 kgClain
6
59 kgDevroye
14
78 kgLagab
25
63 kg
Weight (KG) →
Result →
78
59
1
25
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAIDI Nassim | 68 |
| 5 | SOLOMON Zemenfes | 66 |
| 6 | CLAIN Médéric | 59 |
| 14 | DEVROYE Kim | 78 |
| 25 | LAGAB Azzedine | 63 |