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 = 0.2 * weight - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Miller
3
54 kgJanssen
6
76 kgNikitin
8
61 kgNeilands
9
69 kgAaen Jørgensen
12
63 kgZieliński
14
61 kgSchumacher
16
71 kg
3
54 kgJanssen
6
76 kgNikitin
8
61 kgNeilands
9
69 kgAaen Jørgensen
12
63 kgZieliński
14
61 kgSchumacher
16
71 kg
Weight (KG) →
Result →
76
54
3
16
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MILLER Barry | 54 |
| 6 | JANSSEN Adriaan | 76 |
| 8 | NIKITIN Matvey | 61 |
| 9 | NEILANDS Krists | 69 |
| 12 | AAEN JØRGENSEN Jonas | 63 |
| 14 | ZIELIńSKI Kamil | 61 |
| 16 | SCHUMACHER Stefan | 71 |