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 = 1 * weight - 55
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Baffi
1
70 kgColombo
2
70 kgHamburger
4
58 kgSkibby
5
70 kgZamana
19
74 kgAndreu
23
77 kgStenersen
31
70 kg
1
70 kgColombo
2
70 kgHamburger
4
58 kgSkibby
5
70 kgZamana
19
74 kgAndreu
23
77 kgStenersen
31
70 kg
Weight (KG) →
Result →
77
58
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAFFI Adriano | 70 |
| 2 | COLOMBO Gabriele | 70 |
| 4 | HAMBURGER Bo | 58 |
| 5 | SKIBBY Jesper | 70 |
| 19 | ZAMANA Cezary | 74 |
| 23 | ANDREU Frankie | 77 |
| 31 | STENERSEN Bjørn | 70 |