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 + 8
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Zoidl
1
63 kgBadilatti
2
62 kgKierner
3
79 kgStedman
4
54 kgButs
5
68 kgFancellu
6
62 kgTulett
8
56 kgHaller
9
68 kg
1
63 kgBadilatti
2
62 kgKierner
3
79 kgStedman
4
54 kgButs
5
68 kgFancellu
6
62 kgTulett
8
56 kgHaller
9
68 kg
Weight (KG) →
Result →
79
54
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZOIDL Riccardo | 63 |
| 2 | BADILATTI Matteo | 62 |
| 3 | KIERNER Florian | 79 |
| 4 | STEDMAN Maximilian | 54 |
| 5 | BUTS Vitaliy | 68 |
| 6 | FANCELLU Alessandro | 62 |
| 8 | TULETT Ben | 56 |
| 9 | HALLER Patrick | 68 |