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 - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Drew
1
72 kgSunderland
2
65 kgMcEwen
4
67 kgGerrans
6
62 kgRogers
7
74 kgDavis
8
73 kg
1
72 kgSunderland
2
65 kgMcEwen
4
67 kgGerrans
6
62 kgRogers
7
74 kgDavis
8
73 kg
Weight (KG) →
Result →
74
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DREW Jamie Peter | 72 |
| 2 | SUNDERLAND Scott | 65 |
| 4 | MCEWEN Robbie | 67 |
| 6 | GERRANS Simon | 62 |
| 7 | ROGERS Michael | 74 |
| 8 | DAVIS Allan | 73 |