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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Oien
3
68 kgVermeulen
4
66 kgDaniel
12
64 kgHartig
22
77 kgOwen
36
67 kgMackinnon
51
75 kgDowning
58
55 kg
3
68 kgVermeulen
4
66 kgDaniel
12
64 kgHartig
22
77 kgOwen
36
67 kgMackinnon
51
75 kgDowning
58
55 kg
Weight (KG) →
Result →
77
55
3
58
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | OIEN Justin | 68 |
| 4 | VERMEULEN Alexey | 66 |
| 12 | DANIEL Gregory | 64 |
| 22 | HARTIG Evan | 77 |
| 36 | OWEN Logan | 67 |
| 51 | MACKINNON Sean | 75 |
| 58 | DOWNING Spencer | 55 |