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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Hansen
2
72 kgVogels
3
75 kgBates
5
61 kgWilson
6
72 kgSulzberger
10
67 kgGates
11
71 kgClarke
15
70 kgHayman
19
78 kg
2
72 kgVogels
3
75 kgBates
5
61 kgWilson
6
72 kgSulzberger
10
67 kgGates
11
71 kgClarke
15
70 kgHayman
19
78 kg
Weight (KG) →
Result →
78
61
2
19
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HANSEN Adam | 72 |
| 3 | VOGELS Henk | 75 |
| 5 | BATES Gene | 61 |
| 6 | WILSON Matthew | 72 |
| 10 | SULZBERGER Bernard | 67 |
| 11 | GATES Nick | 71 |
| 15 | CLARKE Hilton | 70 |
| 19 | HAYMAN Mathew | 78 |