Years 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 US Population over 65Net Operating Cash Flow (Billion) 12.46 26.3 12.58 27.6 12.75 31.4 12.97 33.4 13.24 29.8 13.56 31.49 13.90 38.82 14.27 30.63 14.64 38.93 15.03 22.72 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Coefficients Intercept US Population over 65, % of Total n Statistics 0.145592 0.021197 -0.101153 5.349143 10 df SS MS F Significance F 1 4.957235 4.957235 0.173249149 0.6881824937 8 228.9067 28.61333 9 233.8639 Coefficients Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0% Upper 95.0% 19.89072 27.00501 0.736557 0.482429658 -42.38294771 82.16439 -42.38295 82.16439 0.828508 1.990496 0.416232 0.688182494 -3.76158306 5.418599 -3.761583 5.418599 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Work Stoppages In Period 35.75-0.32* Work Stoppages in Period = Effect of Stoppages on Net Operating Cash Flow 0.3029490602 0.0917781331 -0.0217496 5.1526728352 10 df SS MS F Significance F 1 21.4635912249 21.46359122 0.808420378 0.3948443368 8 212.40029878 26.55003735 9 233.86389 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% 35.74630573 5.4088606598 6.6088420429 0.000167833 23.273450684 48.21916078 23.27345068 -0.324287114 0.3606708686 -0.899122004 0.394844337 -1.155995629 0.5074214 -1.155995629 ### ### ### ### ### ### ### ### ### ### Upper 95.0% 48.21916078 0.5074214 # of work stopages Net Operating Cash Flow (Billion) 21 26.3 15 27.6 5 31.4 11 33.4 19 29.8 19 31.49 15 38.82 11 30.63 12 38.93 15 22.72 ### ### ### ### ### ### ### # of Smartphone Users in US Net Operating Cash Flow (Billion) 62.60 33.4 92.80 29.8 122.00 31.49 144.50 38.82 171.00 30.63 190.64 38.93 208.61 22.72 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.1661766508 0.0276146793 -0.1668623849 6.0648506965 7 ANOVA df Regression Residual Total Intercept # of Smartphone Users in US SS MS 1 5.2229015765 5.2229015765 5 183.91206985 36.78241397 6 189.13497143 Coefficients Standard Error t Stat 34.7566952705 7.0217491055 4.949862883 -0.0176453832 0.0468268869 -0.376821615 Chart Title 45 40 35 f(x) = - 0.0176453832x + 34.7566952705 30 25 20 15 10 5 0 40.00 60.00 80.00 100.00 120.00 140.00 160.00 180.00 200.00 F Significance F 0.14199453 0.7217687595 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.004285445 16.706714566 52.80667598 16.70671457 52.80667598 0.721768759 -0.138017728 0.102726962 -0.138017728 0.102726962 220.00 2010 2011 2012 2013 2014 2015 % of All Adults Using Social Media Net Operating Cash Flow (Billion) 46% 33.4 50% 29.8 55% 31.49 62% 38.82 62% 30.63 65% 38.93 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.565781 0.320108 0.150135 3.757164 6 ANOVA df Regression Residual Total Intercept % of All Adults Using Social Media SS MS F 1 26.58501 26.58501 1.883287 4 56.46514 14.11628 5 83.05015 Coefficients Standard Error t Stat P-value 16.60834 12.65346 1.312553 0.259578 30.41763 22.16497 1.372329 0.241884 Significance F 0.241884 Lower 95%Upper 95%Lower 95.0% Upper 95.0% -18.5233 51.73998 -18.5233 51.73998 -31.1222 91.95746 -31.1222 91.95746 Annual Number of Data Breaches i 16.20 22.90 17.30 91.98 85.61 169.00 36.60 2010 2011 2012 2013 2014 2015 2016 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.6263184977 0.3922748606 0.2707298327 4.7946235906 7 ANOVA df Regression Residual Total Intercept Annual Number of Data Breaches in US 1 5 6 Coefficients 28.3489738407 0.0622106579 Net Operating Cash Flow (Billion) 33.4 29.8 31.49 38.82 30.63 38.93 22.72 SS MS F Significance F 74.1928945499 74.19289 3.227404 0.132353 114.9420768787 22.98842 189.1349714286 Standard Error t Stat P-value Lower 95%Upper 95%Lower 95.0% Upper 95.0% 2.8307473184 10.01466 0.00017 21.07231 35.62564 21.07231 35.62564 0.0346288568 1.796498 0.132353 -0.026806 0.151227 -0.026806 0.151227 Upper 95.0% 2010 2011 2012 2013 2014 2015 2016 # of cities worldwide that Offer Bike Sharin Net Operating Cash Flow (Billion) 131.00 33.4 220.00 29.8 347.00 31.49 457.00 38.82 549.00 30.63 703.00 38.93 855.00 22.72 SUMMARY OUTPUT Regression Statistics Multiple R 0.230664 R Square 0.053206 Adjusted R Square -0.136153 Standard Error 5.984512 Observations 7 ANOVA df Regression Residual Total Intercept X Variable 1 1 5 6 Coefficients 34.58908 -0.005007 SS MS F Significance F 10.06307 10.06307 0.280979 0.6187467231 179.0719 35.81438 189.135 Standard Error t Stat P-value Lower 95% Upper 95%Lower 95.0% Upper 95.0% 4.949104 6.988958 0.000923 21.8670048 47.31116 21.867 47.31116 0.009446 -0.530074 0.618747 -0.029289649 0.019275 -0.02929 0.019275 Big Data Market Size, Based on Revenue Net Operating Cash Flow (Billion) ### ### ### ### ### ### 7.60 12.25 19.60 18.30 22.60 27.30 29.8 31.49 38.82 30.63 38.93 22.72 SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.083279258 0.0069354348 -0.2413307065 6.8247016685 6 ANOVA df Regression Residual Total Intercept X Variable 1 SS 1 1.3011385462 4 186.30621145 5 187.60735 Coefficients Standard Error 33.35548738 8.2083603069 -0.0719268396 0.430341152 MS F Significance F 1.3011385462 0.027935484 0.8753699019 46.57655286 t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 4.0635993222 0.015303301 10.565425584 56.14554918 10.56542558 56.14554918 -0.167139116 0.875369902 -1.266745425 1.122891746 -1.266745425 1.122891746