| Tag | Value |
|---|---|
| file | Inferential_Statistics_eur-inferential_statistics-135-en_eur-inferential_statistics-135-en |
| name | eur-inferential_statistics-135-en |
| section | Inferential Statistics/Regression/Standardized coefficient |
| type | num |
| solution | -0.599 |
| tolerance | 0 |
| Type | Performing analysis |
| Program | SPSS |
| Language | English |
| Level | Statistical Literacy |
A researcher is interested in the influence of the drop in price for gasoline (bezine) on students who own a car. He wants to predict how many kilometers they will drive in in Januari 2015 [KM_JAN] by using a few predictors. For 202 students, the researcher has gathered the following data: 1) actual driven kilometers in Jan 2015 [KM_JAN], 2) actual driven kilometers in October 2014 [KM_OCT], 3) income for January 2015 [INCOME_JAN], 4) total kilometers traveled using public transport for February 2015 [PUB_TRANS], and 5) type of car [car] (1 = hybrid, 2 = sedan, 3 = suv).
Open the data file.
What is the standardized residual for the person who drove 264.2 kilometers in January 2015 [KM_JAN]? (3 decimals)
The standardized residual for the person who drove 264.2 kilometers in January 2015 is -0.599.