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 = 1.2 * weight - 74
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Lund
1
65 kgVorganov
4
65 kgSchleck
8
68 kgSokolov
9
70 kgDuijn
10
73 kgRoche
11
70 kgPasseron
14
73 kg
1
65 kgVorganov
4
65 kgSchleck
8
68 kgSokolov
9
70 kgDuijn
10
73 kgRoche
11
70 kgPasseron
14
73 kg
Weight (KG) →
Result →
73
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUND Anders | 65 |
| 4 | VORGANOV Eduard | 65 |
| 8 | SCHLECK Andy | 68 |
| 9 | SOKOLOV Evgeny | 70 |
| 10 | DUIJN Huub | 73 |
| 11 | ROCHE Nicolas | 70 |
| 14 | PASSERON Aurélien | 73 |