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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Cheula
1
62 kgKashechkin
4
70 kgSchleck
5
65 kgLjungblad
8
70 kgMuravyev
9
75 kgKirchen
25
68 kgAdamsson
44
68 kg
1
62 kgKashechkin
4
70 kgSchleck
5
65 kgLjungblad
8
70 kgMuravyev
9
75 kgKirchen
25
68 kgAdamsson
44
68 kg
Weight (KG) →
Result →
75
62
1
44
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHEULA Giampaolo | 62 |
| 4 | KASHECHKIN Andrey | 70 |
| 5 | SCHLECK Fränk | 65 |
| 8 | LJUNGBLAD Jonas | 70 |
| 9 | MURAVYEV Dmitriy | 75 |
| 25 | KIRCHEN Kim | 68 |
| 44 | ADAMSSON Stefan | 68 |