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 = 0.7 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Spruch
2
68 kgMickiewicz
3
74 kgOzers
4
73 kgPiziks
5
70 kgPawlak
6
73 kgGontchenkov
9
74 kgLjungqvist
10
73 kg
2
68 kgMickiewicz
3
74 kgOzers
4
73 kgPiziks
5
70 kgPawlak
6
73 kgGontchenkov
9
74 kgLjungqvist
10
73 kg
Weight (KG) →
Result →
74
68
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SPRUCH Zbigniew | 68 |
| 3 | MICKIEWICZ Jacek | 74 |
| 4 | OZERS Kaspars | 73 |
| 5 | PIZIKS Arvis | 70 |
| 6 | PAWLAK Wojciech | 73 |
| 9 | GONTCHENKOV Alexander | 74 |
| 10 | LJUNGQVIST Marcus | 73 |