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 + 215
This means that on average for every extra kilogram weight a rider loses -2.9 positions in the result.
Vermeulen
2
66 kgOien
4
68 kgDaniel
9
64 kgOwen
11
67 kgHartig
12
77 kgMackinnon
22
75 kgDowning
93
55 kg
2
66 kgOien
4
68 kgDaniel
9
64 kgOwen
11
67 kgHartig
12
77 kgMackinnon
22
75 kgDowning
93
55 kg
Weight (KG) →
Result →
77
55
2
93
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VERMEULEN Alexey | 66 |
| 4 | OIEN Justin | 68 |
| 9 | DANIEL Gregory | 64 |
| 11 | OWEN Logan | 67 |
| 12 | HARTIG Evan | 77 |
| 22 | MACKINNON Sean | 75 |
| 93 | DOWNING Spencer | 55 |