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 - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hamburger
1
58 kgZarrabeitia
3
63 kgChanteur
4
62 kgGonzález
5
70 kgSimon
6
70 kgArrieta
9
68 kgMancebo
10
64 kg
1
58 kgZarrabeitia
3
63 kgChanteur
4
62 kgGonzález
5
70 kgSimon
6
70 kgArrieta
9
68 kgMancebo
10
64 kg
Weight (KG) →
Result →
70
58
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAMBURGER Bo | 58 |
| 3 | ZARRABEITIA Mikel | 63 |
| 4 | CHANTEUR Pascal | 62 |
| 5 | GONZÁLEZ Santos | 70 |
| 6 | SIMON François | 70 |
| 9 | ARRIETA José Luis | 68 |
| 10 | MANCEBO Francisco | 64 |