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 = -0.8 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Cheula
2
62 kgMuravyev
3
75 kgSchleck
6
65 kgKashechkin
8
70 kgLjungblad
10
70 kgKirchen
22
68 kgScarponi
31
62 kg
2
62 kgMuravyev
3
75 kgSchleck
6
65 kgKashechkin
8
70 kgLjungblad
10
70 kgKirchen
22
68 kgScarponi
31
62 kg
Weight (KG) →
Result →
75
62
2
31
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHEULA Giampaolo | 62 |
| 3 | MURAVYEV Dmitriy | 75 |
| 6 | SCHLECK Fränk | 65 |
| 8 | KASHECHKIN Andrey | 70 |
| 10 | LJUNGBLAD Jonas | 70 |
| 22 | KIRCHEN Kim | 68 |
| 31 | SCARPONI Michele | 62 |