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 = -0.5 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Edwards
1
59 kgBergen
2
64 kgStephens
3
55 kgMullens
5
57 kgPeñuela
7
53 kgTeddergreen
9
51 kg
1
59 kgBergen
2
64 kgStephens
3
55 kgMullens
5
57 kgPeñuela
7
53 kgTeddergreen
9
51 kg
Weight (KG) →
Result →
64
51
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EDWARDS Ruth | 59 |
| 2 | BERGEN Sara | 64 |
| 3 | STEPHENS Lauren | 55 |
| 5 | MULLENS Peta | 57 |
| 7 | PEÑUELA Diana | 53 |
| 9 | TEDDERGREEN Starla | 51 |