| Tag | Value |
|---|---|
| file | Descriptive-statistics_eur-descriptive-132-en_eur-descriptive-132-en |
| name | eur-descriptive-132-en |
| section | Descriptive statistics/Summary Statistics/Bivariate statistics/Correlation |
| type | num |
| solution | 0.694 |
| 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.
Compute the correlations between the predictors: [expenses_jul], [salary_nov], [studytime] and the outcome variable expenses in november 2012 [expenses_nov]. 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.