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 = -0.3 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Granigan
19
76 kgOien
20
68 kgBarta
21
61 kgHartig
28
77 kgJamieson
38
75 kgZahiri
43
57 kgMackinnon
44
75 kgBurke
57
67 kg
19
76 kgOien
20
68 kgBarta
21
61 kgHartig
28
77 kgJamieson
38
75 kgZahiri
43
57 kgMackinnon
44
75 kgBurke
57
67 kg
Weight (KG) →
Result →
77
57
19
57
| # | Rider | Weight (KG) |
|---|---|---|
| 19 | GRANIGAN Noah | 76 |
| 20 | OIEN Justin | 68 |
| 21 | BARTA Will | 61 |
| 28 | HARTIG Evan | 77 |
| 38 | JAMIESON Adam | 75 |
| 43 | ZAHIRI Abderrahim | 57 |
| 44 | MACKINNON Sean | 75 |
| 57 | BURKE Jack | 67 |