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 - 30
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Maignan
1
63 kgMoreau
2
71 kgFinot
3
65 kgBrochard
4
68 kgLefèvre
6
67 kgLangella
7
76 kgBassons
8
74 kgBrard
10
74 kg
1
63 kgMoreau
2
71 kgFinot
3
65 kgBrochard
4
68 kgLefèvre
6
67 kgLangella
7
76 kgBassons
8
74 kgBrard
10
74 kg
Weight (KG) →
Result →
76
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIGNAN Gilles | 63 |
| 2 | MOREAU Christophe | 71 |
| 3 | FINOT Frédéric | 65 |
| 4 | BROCHARD Laurent | 68 |
| 6 | LEFÈVRE Laurent | 67 |
| 7 | LANGELLA Anthony | 76 |
| 8 | BASSONS Christophe | 74 |
| 10 | BRARD Florent | 74 |