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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Arntz
1
70 kgMauri
2
68 kgAlonso
4
70 kgHodge
7
74 kgBalboa
7
66 kgKelly
7
77 kgPieters
8
82 kgFernández
9
68 kg
1
70 kgMauri
2
68 kgAlonso
4
70 kgHodge
7
74 kgBalboa
7
66 kgKelly
7
77 kgPieters
8
82 kgFernández
9
68 kg
Weight (KG) →
Result →
82
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARNTZ Marcel | 70 |
| 2 | MAURI Melchor | 68 |
| 4 | ALONSO Marino | 70 |
| 7 | HODGE Stephen | 74 |
| 7 | BALBOA Antonio | 66 |
| 7 | KELLY Sean | 77 |
| 8 | PIETERS Peter | 82 |
| 9 | FERNÁNDEZ Juan | 68 |