3. One of the researchers working for you at the tech company delivers some data you asked for about associations between consumers and their likelihood of purchasing a new tablet. The two variables of particular interest are: 1) previous number of laptops owned and 2) likelihood of purchasing a new tablet. The researcher tells you that the Pearson Product Moment Correlation Coefficient is .72 for these two variables and is significant at the p <.05 level. you have a briefing with management now and they don want to hear the statistics jumble that pay sort through. what number or indicator could present them would clearly explain this relationship consider how researchers interpret an r statistic we learned was most precise method of doing so. inspired by your presentation on correlations begins scouring research reports for other associations between variables buying likelihood. come across rather shaky report which indicates checking savings accounts person is strongly correlated as been saying whether not will buy new tablet. wants ask board about getting into small banking operation so get more folks recognize lunacy plan need stop them. do tell one working at tech company delivers some data asked consumers their likelihood purchasing two particular interest are: previous laptops owned researcher tells pearson product moment correlation coefficient .72 these significant p>