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 = 0.8 * weight - 48
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Bais
1
66 kgDina
4
67 kgValter
6
65 kgBurger
8
74 kgvan den Dool
10
68 kgLašinis
11
69 kgBax
15
78 kgMaciejuk
16
78 kg
1
66 kgDina
4
67 kgValter
6
65 kgBurger
8
74 kgvan den Dool
10
68 kgLašinis
11
69 kgBax
15
78 kgMaciejuk
16
78 kg
Weight (KG) →
Result →
78
65
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAIS Mattia | 66 |
| 4 | DINA Márton | 67 |
| 6 | VALTER Attila | 65 |
| 8 | BURGER Sven | 74 |
| 10 | VAN DEN DOOL Jens | 68 |
| 11 | LAŠINIS Venantas | 69 |
| 15 | BAX Sjoerd | 78 |
| 16 | MACIEJUK Filip | 78 |