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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dal-Cin
1
77 kgJaramillo
2
63 kgMcCabe
8
72 kgHuffman
9
71 kgBeyer
10
63 kgKuss
11
61 kgGuamá
14
61 kg
1
77 kgJaramillo
2
63 kgMcCabe
8
72 kgHuffman
9
71 kgBeyer
10
63 kgKuss
11
61 kgGuamá
14
61 kg
Weight (KG) →
Result →
77
61
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAL-CIN Matteo | 77 |
| 2 | JARAMILLO Daniel | 63 |
| 8 | MCCABE Travis | 72 |
| 9 | HUFFMAN Evan | 71 |
| 10 | BEYER Chad | 63 |
| 11 | KUSS Sepp | 61 |
| 14 | GUAMÁ Byron | 61 |