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 = -1.1 * weight + 87
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Marie
2
68 kgKarlsson
3
75 kgKasputis
4
83 kgGaumont
8
77 kgBrochard
20
68 kgVirenque
24
65 kgHervé
26
62 kg
2
68 kgKarlsson
3
75 kgKasputis
4
83 kgGaumont
8
77 kgBrochard
20
68 kgVirenque
24
65 kgHervé
26
62 kg
Weight (KG) →
Result →
83
62
2
26
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MARIE Thierry | 68 |
| 3 | KARLSSON Jan | 75 |
| 4 | KASPUTIS Artūras | 83 |
| 8 | GAUMONT Philippe | 77 |
| 20 | BROCHARD Laurent | 68 |
| 24 | VIRENQUE Richard | 65 |
| 26 | HERVÉ Pascal | 62 |