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 + 34
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Faulkner
1
62 kgMajerus
2
56 kgAndersen
3
55 kgJackson
4
63 kgWood
6
59 kgPeñuela
10
53 kgBrand
12
57 kg
1
62 kgMajerus
2
56 kgAndersen
3
55 kgJackson
4
63 kgWood
6
59 kgPeñuela
10
53 kgBrand
12
57 kg
Weight (KG) →
Result →
63
53
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAULKNER Kristen | 62 |
| 2 | MAJERUS Christine | 56 |
| 3 | ANDERSEN Susanne | 55 |
| 4 | JACKSON Alison | 63 |
| 6 | WOOD Alice | 59 |
| 10 | PEÑUELA Diana | 53 |
| 12 | BRAND Lucinda | 57 |