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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Kubiš
1
70 kgSchwarzbacher
2
72 kgŠtoček
4
80 kgRiška
8
70 kgJurík
9
75 kgČontofalský
12
73 kgTuka
16
57 kg
1
70 kgSchwarzbacher
2
72 kgŠtoček
4
80 kgRiška
8
70 kgJurík
9
75 kgČontofalský
12
73 kgTuka
16
57 kg
Weight (KG) →
Result →
80
57
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KUBIŠ Lukáš | 70 |
| 2 | SCHWARZBACHER Matthias | 72 |
| 4 | ŠTOČEK Matúš | 80 |
| 8 | RIŠKA Richard | 70 |
| 9 | JURÍK Martin | 75 |
| 12 | ČONTOFALSKÝ Marek | 73 |
| 16 | TUKA Samuel | 57 |