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 = -1 * weight + 97
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Hartig
11
77 kgJamieson
12
75 kgOien
24
68 kgBarta
28
61 kgGranigan
29
76 kgBurke
32
67 kgMackinnon
35
75 kgZahiri
46
57 kg
11
77 kgJamieson
12
75 kgOien
24
68 kgBarta
28
61 kgGranigan
29
76 kgBurke
32
67 kgMackinnon
35
75 kgZahiri
46
57 kg
Weight (KG) →
Result →
77
57
11
46
| # | Rider | Weight (KG) |
|---|---|---|
| 11 | HARTIG Evan | 77 |
| 12 | JAMIESON Adam | 75 |
| 24 | OIEN Justin | 68 |
| 28 | BARTA Will | 61 |
| 29 | GRANIGAN Noah | 76 |
| 32 | BURKE Jack | 67 |
| 35 | MACKINNON Sean | 75 |
| 46 | ZAHIRI Abderrahim | 57 |