Correlations Notes Output Created 12-FEB-2024 23:01:50 Comments Input Data C:\Users\Administrator\Downloads\NCS-data set for assignments (8).sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data File 9282 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair. Syntax CORRELATIONS /VARIABLES=AGE ABUSE /PRINT=TWOTAIL NOSIG FULL /MISSING=PAIRWISE. Resources Processor Time 00:00:00.05 Elapsed Time 00:00:00.05 Correlations Age Frequency of childhood abuse experiences Age Pearson Correlation 1 -.086** Sig. (2-tailed) <.001 N 9282 9153 Frequency of childhood abuse experiences Pearson Correlation -.086** 1 Sig. (2-tailed) <.001 N 9153 9153 ** Correlation is significant at the 0.01 level (2-tailed). GGraph Notes Output Created 12-FEB-2024 23:24:35 Comments Input Data C:\Users\Administrator\Downloads\NCS-data set for assignments (8).sav Active Dataset DataSet1 Filter Weight Split File N of Rows in Working Data File 9282 Syntax GGRAPH /GRAPHDATASET NAME="graphdataset" VARIABLES=ABUSE AGE MISSING=LISTWISE REPORTMISSING=NO /GRAPHSPEC SOURCE=INLINE /FITLINE TOTAL=NO SUBGROUP=NO. BEGIN GPL SOURCE: s=userSource(id("graphdataset")) DATA: ABUSE=col(source(s), name("ABUSE")) DATA: AGE=col(source(s), name("AGE")) GUIDE: axis(dim(1), label("Frequency of childhood abuse experiences")) GUIDE: axis(dim(2), label("Age")) GUIDE: text.title(label("Scatter Plot of Age by Frequency of childhood abuse experiences")) ELEMENT: point(position(ABUSE*AGE)) END GPL. Resources Processor Time 00:00:07.14 Elapsed Time 00:00:42.18 If the correlation was low, r < .30, you would not be able to see a line in a scatterplot, only a random scatter of points