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 = -0.9 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Hoskins
4
64 kgSiggaard
5
67 kgConfalonieri
7
56 kgMoberg
8
56 kgHanselmann
17
55 kgPrieto
21
54 kg
4
64 kgSiggaard
5
67 kgConfalonieri
7
56 kgMoberg
8
56 kgHanselmann
17
55 kgPrieto
21
54 kg
Weight (KG) →
Result →
67
54
4
21
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HOSKINS Melissa | 64 |
| 5 | SIGGAARD Christina | 67 |
| 7 | CONFALONIERI Maria Giulia | 56 |
| 8 | MOBERG Emilie | 56 |
| 17 | HANSELMANN Nicole | 55 |
| 21 | PRIETO Marcela Elizabeth | 54 |