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 = 3.3 * weight - 217
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Sweet
1
69 kgGlasner
2
72 kgWadecki
4
70 kgZamana
6
74 kgGates
23
71 kgDa Cruz
24
74 kgMcGrory
29
73 kgWhite
76
72 kg
1
69 kgGlasner
2
72 kgWadecki
4
70 kgZamana
6
74 kgGates
23
71 kgDa Cruz
24
74 kgMcGrory
29
73 kgWhite
76
72 kg
Weight (KG) →
Result →
74
69
1
76
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SWEET Jay | 69 |
| 2 | GLASNER Björn | 72 |
| 4 | WADECKI Piotr | 70 |
| 6 | ZAMANA Cezary | 74 |
| 23 | GATES Nick | 71 |
| 24 | DA CRUZ Carlos | 74 |
| 29 | MCGRORY Scott | 73 |
| 76 | WHITE Matthew | 72 |