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 = -0.4 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Mauclair
1
67 kgGalateau
2
76 kgFayolle
4
63 kgVietto
7
67 kgBettini
11
60 kgButtafocchi
15
75 kgLanteri
29
63 kg
1
67 kgGalateau
2
76 kgFayolle
4
63 kgVietto
7
67 kgBettini
11
60 kgButtafocchi
15
75 kgLanteri
29
63 kg
Weight (KG) →
Result →
76
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAUCLAIR Joseph | 67 |
| 2 | GALATEAU Fabien | 76 |
| 4 | FAYOLLE Fernand | 63 |
| 7 | VIETTO René | 67 |
| 11 | BETTINI Decimo | 60 |
| 15 | BUTTAFOCCHI Adrien | 75 |
| 29 | LANTERI Paulin | 63 |