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 + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Jaskuła
3
76 kgBelli
4
64 kgDonati
7
75 kgMazzoleni
12
67 kgBarbosa
38
72 kg
3
76 kgBelli
4
64 kgDonati
7
75 kgMazzoleni
12
67 kgBarbosa
38
72 kg
Weight (KG) →
Result →
76
64
3
38
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JASKUŁA Zenon | 76 |
| 4 | BELLI Wladimir | 64 |
| 7 | DONATI Massimo | 75 |
| 12 | MAZZOLENI Eddy | 67 |
| 38 | BARBOSA Cândido | 72 |