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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Hayles
1
80 kgMainguenaud
2
68 kgScanlon
4
79 kgMaignan
5
63 kgMändoja
8
69 kgCretskens
10
75 kg
1
80 kgMainguenaud
2
68 kgScanlon
4
79 kgMaignan
5
63 kgMändoja
8
69 kgCretskens
10
75 kg
Weight (KG) →
Result →
80
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYLES Robert | 80 |
| 2 | MAINGUENAUD Frédéric | 68 |
| 4 | SCANLON Mark | 79 |
| 5 | MAIGNAN Gilles | 63 |
| 8 | MÄNDOJA Innar | 69 |
| 10 | CRETSKENS Wilfried | 75 |