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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Earle
1
70 kgGarcía
2
68 kgPrades
3
56 kgRebellin
4
63 kgCrawford
5
59 kgLebas
6
65 kgMat Amin
9
54 kgVolkers
12
67 kg
1
70 kgGarcía
2
68 kgPrades
3
56 kgRebellin
4
63 kgCrawford
5
59 kgLebas
6
65 kgMat Amin
9
54 kgVolkers
12
67 kg
Weight (KG) →
Result →
70
54
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EARLE Nathan | 70 |
| 2 | GARCÍA Ricardo | 68 |
| 3 | PRADES Benjamín | 56 |
| 4 | REBELLIN Davide | 63 |
| 5 | CRAWFORD Jai | 59 |
| 6 | LEBAS Thomas | 65 |
| 9 | MAT AMIN Mohd Shahrul | 54 |
| 12 | VOLKERS Samuel | 67 |