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 = 0.2 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Ronhaar
2
60 kgVermeulen
3
67 kgKamp
4
70 kgBertazzo
5
75 kgJanssen
6
67 kgWeber
7
78 kg
2
60 kgVermeulen
3
67 kgKamp
4
70 kgBertazzo
5
75 kgJanssen
6
67 kgWeber
7
78 kg
Weight (KG) →
Result →
78
60
2
7
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RONHAAR Pim | 60 |
| 3 | VERMEULEN Moran | 67 |
| 4 | KAMP Ryan | 70 |
| 5 | BERTAZZO Liam | 75 |
| 6 | JANSSEN Lucas | 67 |
| 7 | WEBER Philip | 78 |