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 + 24
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Sagan
1
78 kgBallan
2
73 kgOss
3
75 kgGatto
4
67 kgPietropolli
5
61 kgVicioso
6
60 kgFavilli
7
61 kgGavazzi
8
65 kg
1
78 kgBallan
2
73 kgOss
3
75 kgGatto
4
67 kgPietropolli
5
61 kgVicioso
6
60 kgFavilli
7
61 kgGavazzi
8
65 kg
Weight (KG) →
Result →
78
60
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | BALLAN Alessandro | 73 |
| 3 | OSS Daniel | 75 |
| 4 | GATTO Oscar | 67 |
| 5 | PIETROPOLLI Daniele | 61 |
| 6 | VICIOSO Ángel | 60 |
| 7 | FAVILLI Elia | 61 |
| 8 | GAVAZZI Francesco | 65 |