| Tag | Value |
|---|---|
| file | Inferential_Statistics_eur-inferential_statistics-133-en_eur-inferential_statistics-133-en |
| name | eur-inferential_statistics-133-en |
| section | Inferential Statistics/Parametric Techniques/Correlations/Pearson |
| type | num |
| solution | 0.451 |
| 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.
Compute the correlations between the predictors: [KM_OCT], [INCOME_JAN], [PUB_TRANS], and the outcome variable [KM_JAN]. Choose in this analysis a listwise exclusion of missing values. Which predictor has the highest correlation with the outcome variable? Report this correlation. (3 decimals)
The correlation is 0.694.