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 = 0.1 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Popovych
1
64 kgScarponi
2
62 kgCaruso
3
60 kgDavis
4
73 kgSchleck
7
65 kgKuschynski
9
65 kg
1
64 kgScarponi
2
62 kgCaruso
3
60 kgDavis
4
73 kgSchleck
7
65 kgKuschynski
9
65 kg
Weight (KG) →
Result →
73
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | POPOVYCH Yaroslav | 64 |
| 2 | SCARPONI Michele | 62 |
| 3 | CARUSO Giampaolo | 60 |
| 4 | DAVIS Allan | 73 |
| 7 | SCHLECK Fränk | 65 |
| 9 | KUSCHYNSKI Aleksandr | 65 |