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 - 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Sweet
2
69 kgMurn
5
70 kgLiese
6
75 kgOrdowski
7
59 kgKjærgaard
8
74 kgGates
9
71 kgKarpets
10
79 kg
2
69 kgMurn
5
70 kgLiese
6
75 kgOrdowski
7
59 kgKjærgaard
8
74 kgGates
9
71 kgKarpets
10
79 kg
Weight (KG) →
Result →
79
59
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SWEET Jay | 69 |
| 5 | MURN Uroš | 70 |
| 6 | LIESE Thomas | 75 |
| 7 | ORDOWSKI Volker | 59 |
| 8 | KJÆRGAARD Steffen | 74 |
| 9 | GATES Nick | 71 |
| 10 | KARPETS Vladimir | 79 |