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 = 0.2 * weight - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Blijlevens
2
70 kgFagnini
3
70 kgBarthe
4
65 kgMoncassin
7
73 kgSmetanine
8
69 kgBäckstedt
9
94 kg
2
70 kgFagnini
3
70 kgBarthe
4
65 kgMoncassin
7
73 kgSmetanine
8
69 kgBäckstedt
9
94 kg
Weight (KG) →
Result →
94
65
2
9
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BLIJLEVENS Jeroen | 70 |
| 3 | FAGNINI Gian Matteo | 70 |
| 4 | BARTHE Stéphane | 65 |
| 7 | MONCASSIN Frédéric | 73 |
| 8 | SMETANINE Serguei | 69 |
| 9 | BÄCKSTEDT Magnus | 94 |