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 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Burke
4
67 kgBarta
4
61 kgOien
8
68 kgMackinnon
11
75 kgGranigan
19
76 kgHartig
43
77 kgZahiri
44
57 kg
4
67 kgBarta
4
61 kgOien
8
68 kgMackinnon
11
75 kgGranigan
19
76 kgHartig
43
77 kgZahiri
44
57 kg
Weight (KG) →
Result →
77
57
4
44
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BURKE Jack | 67 |
| 4 | BARTA Will | 61 |
| 8 | OIEN Justin | 68 |
| 11 | MACKINNON Sean | 75 |
| 19 | GRANIGAN Noah | 76 |
| 43 | HARTIG Evan | 77 |
| 44 | ZAHIRI Abderrahim | 57 |