7. In PSPP, use the dataset Datasetlab04 to perform a Pearson's r correlation between the variables: Attend - how often the respondent attends church Pray - how often the respondent prays Rincome - the respondent's level of income TVhours - how many hours of tv the respondent watches a day Interpret the Pearson's r and corresponding p value for the following relationships: 1. Effect of church attendance on praying 2. Effect of praying on tv hours watched 3. Effect of income on tv hours watched

CORRELATION /VARIABLES = attend pray rincome tvhours / PRINT = TWOTAIL NOSIG. Correlations HOW OFTEN HOURS R HOW PER ATTENDS OFTEN DAY RELIGIOUS DOES SPONDEN VATCHING SERVICES- R PRAY INCOME- TV HOW OFTEN Pearson 1.000 -.472a 007 -.063 R ATTENDS Correlation RELIGIOUS Sig. (2-tailed) 000 .763 .058 SERVICES N 2743 1356 1897 902 HOW OFTEN Pearson .472= 1.000 .020 .118- DOES R PRAY Correlation Sig. (2-tailed) .000 .533 .000 N 1356 1362 955 899 RESPONDENTS Pearson .007 020 1.000 170= INCOME Correlation Sig. (2-tailed) 763 533 000 N 1897 955 1910 624 HOURS PER Pearson -.063 .118- .1703 1.000 DAY Correlation WATCHING Sig. (2-tailed) .058 000 .000 TV N 902 899 624 908 a. Significant at .05 level