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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kwiatkowski
1
68 kgVermote
2
74 kgBrändle
3
80 kgSagan
4
78 kgVermote
5
74 kgGuldhammer
8
66 kg
1
68 kgVermote
2
74 kgBrändle
3
80 kgSagan
4
78 kgVermote
5
74 kgGuldhammer
8
66 kg
Weight (KG) →
Result →
80
66
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KWIATKOWSKI Michał | 68 |
| 2 | VERMOTE Julien | 74 |
| 3 | BRÄNDLE Matthias | 80 |
| 4 | SAGAN Peter | 78 |
| 5 | VERMOTE Alphonse | 74 |
| 8 | GULDHAMMER Rasmus | 66 |