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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Carrara
1
67 kgGlomser
2
67 kgRadochla
3
70 kgCadamuro
4
78 kgEisel
5
74 kgPugaci
6
67 kgBonča
9
63 kg
1
67 kgGlomser
2
67 kgRadochla
3
70 kgCadamuro
4
78 kgEisel
5
74 kgPugaci
6
67 kgBonča
9
63 kg
Weight (KG) →
Result →
78
63
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CARRARA Matteo | 67 |
| 2 | GLOMSER Gerrit | 67 |
| 3 | RADOCHLA Steffen | 70 |
| 4 | CADAMURO Simone | 78 |
| 5 | EISEL Bernhard | 74 |
| 6 | PUGACI Igor | 67 |
| 9 | BONČA Valter | 63 |