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 = 0.6 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Petrov
1
70 kgGolčer
5
66.5 kgSinkewitz
6
63 kgBonča
7
63 kgMahorič
12
68 kgRogina
13
70 kgGazvoda
15
72 kg
1
70 kgGolčer
5
66.5 kgSinkewitz
6
63 kgBonča
7
63 kgMahorič
12
68 kgRogina
13
70 kgGazvoda
15
72 kg
Weight (KG) →
Result →
72
63
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PETROV Evgeni | 70 |
| 5 | GOLČER Jure | 66.5 |
| 6 | SINKEWITZ Patrik | 63 |
| 7 | BONČA Valter | 63 |
| 12 | MAHORIČ Mitja | 68 |
| 13 | ROGINA Radoslav | 70 |
| 15 | GAZVODA Gregor | 72 |