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 = -2.9 * weight + 218
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Daniel
2
64 kgVermeulen
4
66 kgOwen
5
67 kgHartig
7
77 kgOien
15
68 kgMackinnon
18
75 kgBurke
46
67 kgDowning
89
55 kg
2
64 kgVermeulen
4
66 kgOwen
5
67 kgHartig
7
77 kgOien
15
68 kgMackinnon
18
75 kgBurke
46
67 kgDowning
89
55 kg
Weight (KG) →
Result →
77
55
2
89
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DANIEL Gregory | 64 |
| 4 | VERMEULEN Alexey | 66 |
| 5 | OWEN Logan | 67 |
| 7 | HARTIG Evan | 77 |
| 15 | OIEN Justin | 68 |
| 18 | MACKINNON Sean | 75 |
| 46 | BURKE Jack | 67 |
| 89 | DOWNING Spencer | 55 |