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 = -2.7 * weight + 215
This means that on average for every extra kilogram weight a rider loses -2.7 positions in the result.
Daniel
7
64 kgOien
9
68 kgOwen
12
67 kgHartig
17
77 kgVermeulen
33
66 kgMackinnon
49
75 kgDowning
106
55 kg
7
64 kgOien
9
68 kgOwen
12
67 kgHartig
17
77 kgVermeulen
33
66 kgMackinnon
49
75 kgDowning
106
55 kg
Weight (KG) →
Result →
77
55
7
106
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | DANIEL Gregory | 64 |
| 9 | OIEN Justin | 68 |
| 12 | OWEN Logan | 67 |
| 17 | HARTIG Evan | 77 |
| 33 | VERMEULEN Alexey | 66 |
| 49 | MACKINNON Sean | 75 |
| 106 | DOWNING Spencer | 55 |