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 + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Rodriguez
4
68 kgMuravyev
5
75 kgMiholjević
7
68 kgLontscharitsch
8
70 kgBuxhofer
10
70 kgPfannberger
12
63 kg
4
68 kgMuravyev
5
75 kgMiholjević
7
68 kgLontscharitsch
8
70 kgBuxhofer
10
70 kgPfannberger
12
63 kg
Weight (KG) →
Result →
75
63
4
12
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | RODRIGUEZ Fred | 68 |
| 5 | MURAVYEV Dmitriy | 75 |
| 7 | MIHOLJEVIĆ Vladimir | 68 |
| 8 | LONTSCHARITSCH Josef | 70 |
| 10 | BUXHOFER Matthias | 70 |
| 12 | PFANNBERGER Christian | 63 |