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 = -3 * weight + 227
This means that on average for every extra kilogram weight a rider loses -3 positions in the result.
Vermeulen
2
66 kgDaniel
3
64 kgOwen
7
67 kgHartig
10
77 kgOien
12
68 kgMackinnon
17
75 kgBurke
53
67 kgDowning
93
55 kg
2
66 kgDaniel
3
64 kgOwen
7
67 kgHartig
10
77 kgOien
12
68 kgMackinnon
17
75 kgBurke
53
67 kgDowning
93
55 kg
Weight (KG) →
Result →
77
55
2
93
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VERMEULEN Alexey | 66 |
| 3 | DANIEL Gregory | 64 |
| 7 | OWEN Logan | 67 |
| 10 | HARTIG Evan | 77 |
| 12 | OIEN Justin | 68 |
| 17 | MACKINNON Sean | 75 |
| 53 | BURKE Jack | 67 |
| 93 | DOWNING Spencer | 55 |