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 = -1.4 * weight + 140
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
Owen
3
67 kgDaniel
8
64 kgOien
12
68 kgVermeulen
40
66 kgMackinnon
58
75 kgHartig
64
77 kgDowning
115
55 kg
3
67 kgDaniel
8
64 kgOien
12
68 kgVermeulen
40
66 kgMackinnon
58
75 kgHartig
64
77 kgDowning
115
55 kg
Weight (KG) →
Result →
77
55
3
115
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | OWEN Logan | 67 |
| 8 | DANIEL Gregory | 64 |
| 12 | OIEN Justin | 68 |
| 40 | VERMEULEN Alexey | 66 |
| 58 | MACKINNON Sean | 75 |
| 64 | HARTIG Evan | 77 |
| 115 | DOWNING Spencer | 55 |