-Side College freshmen involved in a dating relationship agreed to participate in a nine-month-long study. Every two weeks, participants answered a detailed questionnaire about their relationship and their emotional well-being. Over the course of the study, 26 of the participants experienced a breakup. The average distress of these 26 participants at the time of breakup (0 weeks) and over the following 10 weeks was assessed from their questionnaire answers. The table shows the findings in a scientific publication. Macmillan Learning Each value of y in the data table represents the average emotional distress of 26 individuals at a specific time after breakup. If the published findings had included the distress values of all 26 participants rather than their average, would the corresponding scatterplot have shown ore or less scatter? The scatterplot using the individual 26 values rather than average values for each specified time would have 9 Time since brea 0 2 kup (wee ks) 10 10 Aver age distr ess 3.3 3.1 2.9 2.6 (unit 96 less score ) CSV Excel JMP Mac-TXT Minitab 14-18 Minitab18+ PC-TXT R SPSS TI CrunchIt! P. Eastwick et al., "Mispredicting distress following romantic breakup: Revealing the time course of the affective forecasting error," Journal of Experimental Social Psychology, 44 (2008), pp. 800-807. doi:10.1016/j.jesp.2007.07.001. How would this affect the value of the correlation r? Explain your reasoning. The correlation would likely be less in strength because individual values have more variability than averages. The correlation would likely be close to 0 because increasing the sample size always decreases the correlation. The correlation would likely not change because corerlation is not a complete summary of two-variable data, even after you have established that the relationship between the variables is linear. The correlation would likely be even stronger because correlation calculated from averaged data is typically much strong than correlation calculated from raw individual data points.