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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Masson
1
77 kgVerschueren
4
91 kgFontan
6
66 kgPlautin
8
75 kgHellebaut
9
74 kgVermandel
10
75 kg
1
77 kgVerschueren
4
91 kgFontan
6
66 kgPlautin
8
75 kgHellebaut
9
74 kgVermandel
10
75 kg
Weight (KG) →
Result →
91
66
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MASSON Émile | 77 |
| 4 | VERSCHUEREN Denis | 91 |
| 6 | FONTAN Victor | 66 |
| 8 | PLAUTIN Adrien | 75 |
| 9 | HELLEBAUT Hilaire | 74 |
| 10 | VERMANDEL René | 75 |