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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Deignan
1
65 kgAcevedo
2
63 kgEuser
3
56 kgMancebo
4
64 kgJenkins
8
63 kgClarke
9
68 kgGaimon
10
67 kg
1
65 kgAcevedo
2
63 kgEuser
3
56 kgMancebo
4
64 kgJenkins
8
63 kgClarke
9
68 kgGaimon
10
67 kg
Weight (KG) →
Result →
68
56
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEIGNAN Philip | 65 |
| 2 | ACEVEDO Janier | 63 |
| 3 | EUSER Lucas | 56 |
| 4 | MANCEBO Francisco | 64 |
| 8 | JENKINS Max | 63 |
| 9 | CLARKE Jonathan | 68 |
| 10 | GAIMON Phillip | 67 |