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 + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Clarke
1
63 kgCecchinel
2
69 kgBerdos
4
68 kgPaterski
6
73 kgMalacarne
7
63 kgBrambilla
10
57 kg
1
63 kgCecchinel
2
69 kgBerdos
4
68 kgPaterski
6
73 kgMalacarne
7
63 kgBrambilla
10
57 kg
Weight (KG) →
Result →
73
57
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CLARKE Simon | 63 |
| 2 | CECCHINEL Giorgio | 69 |
| 4 | BERDOS Oleg | 68 |
| 6 | PATERSKI Maciej | 73 |
| 7 | MALACARNE Davide | 63 |
| 10 | BRAMBILLA Gianluca | 57 |