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 - 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Rominger
2
65 kgUgrumov
3
58 kgKelly
8
77 kgKonyshev
9
77 kgFondriest
10
70 kg
2
65 kgUgrumov
3
58 kgKelly
8
77 kgKonyshev
9
77 kgFondriest
10
70 kg
Weight (KG) →
Result →
77
58
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROMINGER Tony | 65 |
| 3 | UGRUMOV Piotr | 58 |
| 8 | KELLY Sean | 77 |
| 9 | KONYSHEV Dmitry | 77 |
| 10 | FONDRIEST Maurizio | 70 |