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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Przydział
2
80 kgKasputis
3
83 kgFlickinger
5
78 kgGougot
6
72 kgNewton
7
69 kg
2
80 kgKasputis
3
83 kgFlickinger
5
78 kgGougot
6
72 kgNewton
7
69 kg
Weight (KG) →
Result →
83
69
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PRZYDZIAŁ Piotr | 80 |
| 3 | KASPUTIS Artūras | 83 |
| 5 | FLICKINGER Andy | 78 |
| 6 | GOUGOT Fabrice | 72 |
| 7 | NEWTON Christopher | 69 |