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 + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | PRICE-PEJTERSEN Johan | 83 |
| 3 | STOKBRO Andreas | 70 |
| 4 | LARSEN Niklas | 74 |
| 6 | HULGAARD Morten | 73 |
| 8 | WALLIN Rasmus Bøgh | 78 |
| 10 | LYHNE Daniel | 61 |
| 12 | KONGSTAD Tobias | 75 |
| 15 | VINGEGAARD Jonas | 58 |
| 17 | AASKOV PALLESEN Jeppe | 60 |
| 21 | ANDERSEN Sander | 56 |
| 28 | EGHOLM Jakob | 69 |
| 31 | STIGAARD Rasmus | 74 |
| 33 | BERG Mads Schelde | 75 |