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 + 58
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Hartig
20
77 kgZahiri
34
57 kgGranigan
35
76 kgOien
39
68 kgBurke
45
67 kgBarta
49
61 kgMackinnon
58
75 kg
20
77 kgZahiri
34
57 kgGranigan
35
76 kgOien
39
68 kgBurke
45
67 kgBarta
49
61 kgMackinnon
58
75 kg
Weight (KG) →
Result →
77
57
20
58
| # | Rider | Weight (KG) |
|---|---|---|
| 20 | HARTIG Evan | 77 |
| 34 | ZAHIRI Abderrahim | 57 |
| 35 | GRANIGAN Noah | 76 |
| 39 | OIEN Justin | 68 |
| 45 | BURKE Jack | 67 |
| 49 | BARTA Will | 61 |
| 58 | MACKINNON Sean | 75 |