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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Loosli
2
71 kgWeissinger
4
74 kgde Maar
9
70 kgMertens
11
67 kgTschopp
15
62 kgGoesinnen
18
75 kgGlasner
20
72 kg
2
71 kgWeissinger
4
74 kgde Maar
9
70 kgMertens
11
67 kgTschopp
15
62 kgGoesinnen
18
75 kgGlasner
20
72 kg
Weight (KG) →
Result →
75
62
2
20
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LOOSLI David | 71 |
| 4 | WEISSINGER René | 74 |
| 9 | DE MAAR Marc | 70 |
| 11 | MERTENS Pieter | 67 |
| 15 | TSCHOPP Johann | 62 |
| 18 | GOESINNEN Floris | 75 |
| 20 | GLASNER Björn | 72 |