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 = 0.4 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Vinther
1
68 kgBär
2
66 kgGretsch
5
69 kgSteensen
6
65 kgSagan
7
65 kgKeizer
8
72 kgClaeys
10
77 kg
1
68 kgBär
2
66 kgGretsch
5
69 kgSteensen
6
65 kgSagan
7
65 kgKeizer
8
72 kgClaeys
10
77 kg
Weight (KG) →
Result →
77
65
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINTHER Troels Rønning | 68 |
| 2 | BÄR Michael | 66 |
| 5 | GRETSCH Patrick | 69 |
| 6 | STEENSEN André | 65 |
| 7 | SAGAN Juraj | 65 |
| 8 | KEIZER Martijn | 72 |
| 10 | CLAEYS Dimitri | 77 |