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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Piziks
1
70 kgWhite
2
72 kgHincapie
4
83 kgHervé
6
62 kgJulich
8
68 kgBlaudzun
9
66 kgPlaza
10
68 kg
1
70 kgWhite
2
72 kgHincapie
4
83 kgHervé
6
62 kgJulich
8
68 kgBlaudzun
9
66 kgPlaza
10
68 kg
Weight (KG) →
Result →
83
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIZIKS Arvis | 70 |
| 2 | WHITE Matthew | 72 |
| 4 | HINCAPIE George | 83 |
| 6 | HERVÉ Pascal | 62 |
| 8 | JULICH Bobby | 68 |
| 9 | BLAUDZUN Michael | 66 |
| 10 | PLAZA David | 68 |