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 = 0.7 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Quintana
1
58 kgArredondo
2
58 kgStetina
4
63 kgAtapuma
5
59 kgWarbasse
9
67 kgAlmonacid
10
60 kgGaimon
11
67 kg
1
58 kgArredondo
2
58 kgStetina
4
63 kgAtapuma
5
59 kgWarbasse
9
67 kgAlmonacid
10
60 kgGaimon
11
67 kg
Weight (KG) →
Result →
67
58
1
11
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | QUINTANA Nairo | 58 |
| 2 | ARREDONDO Julián David | 58 |
| 4 | STETINA Peter | 63 |
| 5 | ATAPUMA Darwin | 59 |
| 9 | WARBASSE Larry | 67 |
| 10 | ALMONACID Patricio | 60 |
| 11 | GAIMON Phillip | 67 |