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 * weight + 5
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Andersson
1
71 kgBlaudzun
2
66 kgBäckstedt
3
94 kgBoogerd
4
62 kgLafis
6
78 kgDietz
8
69 kgYates
9
74 kg
1
71 kgBlaudzun
2
66 kgBäckstedt
3
94 kgBoogerd
4
62 kgLafis
6
78 kgDietz
8
69 kgYates
9
74 kg
Weight (KG) →
Result →
94
62
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANDERSSON Michael | 71 |
| 2 | BLAUDZUN Michael | 66 |
| 3 | BÄCKSTEDT Magnus | 94 |
| 4 | BOOGERD Michael | 62 |
| 6 | LAFIS Michel | 78 |
| 8 | DIETZ Bert | 69 |
| 9 | YATES Sean | 74 |