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 = -0.9 * weight + 90
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Oien
16
68 kgDaniel
21
64 kgMackinnon
25
75 kgVermeulen
26
66 kgHartig
31
77 kgDowning
51
55 kgOwen
55
67 kg
16
68 kgDaniel
21
64 kgMackinnon
25
75 kgVermeulen
26
66 kgHartig
31
77 kgDowning
51
55 kgOwen
55
67 kg
Weight (KG) →
Result →
77
55
16
55
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | OIEN Justin | 68 |
| 21 | DANIEL Gregory | 64 |
| 25 | MACKINNON Sean | 75 |
| 26 | VERMEULEN Alexey | 66 |
| 31 | HARTIG Evan | 77 |
| 51 | DOWNING Spencer | 55 |
| 55 | OWEN Logan | 67 |