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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Euser
2
56 kgDuggan
3
60 kgTschopp
4
62 kgBoswell
5
70 kgLeipheimer
6
62 kgAgnoli
7
72 kgFairly
8
60 kgKönig
9
62 kg
2
56 kgDuggan
3
60 kgTschopp
4
62 kgBoswell
5
70 kgLeipheimer
6
62 kgAgnoli
7
72 kgFairly
8
60 kgKönig
9
62 kg
Weight (KG) →
Result →
72
56
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EUSER Lucas | 56 |
| 3 | DUGGAN Timothy | 60 |
| 4 | TSCHOPP Johann | 62 |
| 5 | BOSWELL Ian | 70 |
| 6 | LEIPHEIMER Levi | 62 |
| 7 | AGNOLI Valerio | 72 |
| 8 | FAIRLY Caleb | 60 |
| 9 | KÖNIG Leopold | 62 |