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 = -0.5 * weight + 88
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Oien
14
68 kgBarta
21
61 kgGranigan
27
76 kgJamieson
54
75 kgBurke
59
67 kgMackinnon
66
75 kgHartig
72
77 kgZahiri
99
57 kg
14
68 kgBarta
21
61 kgGranigan
27
76 kgJamieson
54
75 kgBurke
59
67 kgMackinnon
66
75 kgHartig
72
77 kgZahiri
99
57 kg
Weight (KG) →
Result →
77
57
14
99
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | OIEN Justin | 68 |
| 21 | BARTA Will | 61 |
| 27 | GRANIGAN Noah | 76 |
| 54 | JAMIESON Adam | 75 |
| 59 | BURKE Jack | 67 |
| 66 | MACKINNON Sean | 75 |
| 72 | HARTIG Evan | 77 |
| 99 | ZAHIRI Abderrahim | 57 |