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 = -0.3 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Dombrowski
1
68 kgCraddock
2
69 kgHuffman
3
71 kgButler
5
61 kgBoswell
6
70 kgLemus
7
61 kg
1
68 kgCraddock
2
69 kgHuffman
3
71 kgButler
5
61 kgBoswell
6
70 kgLemus
7
61 kg
Weight (KG) →
Result →
71
61
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOMBROWSKI Joe | 68 |
| 2 | CRADDOCK Lawson | 69 |
| 3 | HUFFMAN Evan | 71 |
| 5 | BUTLER Chris | 61 |
| 6 | BOSWELL Ian | 70 |
| 7 | LEMUS Luis | 61 |