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 = -0.9 * weight + 72
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Burke
1
67 kgBarta
1
61 kgJamieson
2
75 kgOien
5
68 kgHartig
8
77 kgMackinnon
9
75 kgGranigan
24
76 kgZahiri
48
57 kg
1
67 kgBarta
1
61 kgJamieson
2
75 kgOien
5
68 kgHartig
8
77 kgMackinnon
9
75 kgGranigan
24
76 kgZahiri
48
57 kg
Weight (KG) →
Result →
77
57
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURKE Jack | 67 |
| 1 | BARTA Will | 61 |
| 2 | JAMIESON Adam | 75 |
| 5 | OIEN Justin | 68 |
| 8 | HARTIG Evan | 77 |
| 9 | MACKINNON Sean | 75 |
| 24 | GRANIGAN Noah | 76 |
| 48 | ZAHIRI Abderrahim | 57 |