| Tag | Value |
|---|---|
| file | Inferential_Statistics_eur-inferential_statistics-123-en_eur-inferential_statistics-123-en |
| name | eur-inferential_statistics-123-en |
| section | Inferential Statistics/Regression/Residuals |
| type | num |
| solution | -0.599 |
| tolerance | 0 |
| Type | Performing analysis |
| Program | SPSS |
| Language | English |
| Level | Statistical Literacy |
A researcher is interested in the consequences of the financial crisis for 16- and 17-year olds. She wants to predict their leisure expenses in November 2012 [expenses_nov] from a number of predictors. She collected data from 202 teenagers: 1) leisure expenses in November 2012 [expenses_nov]; 2) leisure expenses in July 2012 [expenses_jul]; 3) income from their side occupation in November 2012 [salary_nov]; 4) time spent on studying [studytime]; and 5) their educational level [education] (1 = vmbo, 2 = havo, 3 = vwo)*.
**translation for the Dutch education levels: (1 = Lower General Secondary Education, 2 = Higher General Secondary Education, 3 = Pre-university Education)*
Open the data file. Check for outlier assumptions on November’s expenses.
What is for this model the standardized residual for the person that spent 264.2 Euro on leisure in November 2012 [expenses_nov]? (3 decimals)
The standardized residual is -0.599.