SPSS

The following data represents a situation in which a researcher is interested in whether the length of a newspaper article (V12) is predictive of the number of quotes in that story (V65), and whether the tone of the first quote regarding Israel (V70a) is predictive of the tone of the first quote regarding Hezbollah (V71a), and finally whether the number of quotes in a story (V65) is predictive of the tone of the first quote regarding Israel (V70a).

Open the data set of the Hezbollah-Israel study we've been using this semester (It's in the V: drive, in the folder named "aaa MCOM490"; any file would work).  

A. Use the ANALYZE >> CORRELATE >> BIVARIATE menu to obtain the correlation between each pair of variables (V12 and V65, V70a and V71a, V65 and V70a). Remember to choose the correct correlation test (Pearson's r or Spearman's rho) depending on the measurement level of the variables.

B. Interpret the results of the correlation test (strength and direction) and don't forget to note the significance of the relationship (CIRCLE THE NUMBER YOU INTERPRET!).

C. Is the tone of the first quote regarding Hezbollah (V71a) or the number of quotes in the story (V65) a better predictor of the tone of the first quote regarding Israel (V70a)? Explain WHY using the results.