The file \"internet-users.sav\" includes data on worldwide internet usage from t
ID: 3208362 • Letter: T
Question
The file "internet-users.sav" includes data on worldwide internet usage from the years 2000-2016. The variables are:
N.Users: number of users (in millions) for that year
Year: the year from which data was measured
YearlyChange: the percent change in internet users from the previous year. For example, a value of 0.118 means there were 11.8% more users in the current year than in the previous year.
a) Create a plot of Users by Year. Report both the Spearman and Pearson correlation coefficient. What do each of these tell you?
b) Create a plot of Yearly Change by Year. Report both the Spearman and Pearson correlation coefficient. What do each of these tell you?
(Please explain for better understading. Thank you)
N.Users Year YelyCh ange 414 502 665 781 913 1030 1162 1373 1575 1766 2023 2231 2494 2728 2956 3185 3424 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 470 210 320 180 169 17% 129 181 147 12.1 145 103 118 094 084 Ir 075Explanation / Answer
The R code is:
N.Users <- c(414, 502, 665, 781, 913, 1030, 1162, 1373, 1575, 1766, 2023, 2231, 2494, 2728, 2956, 3185, 3424)
Year <- c(2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016)
YearlyChange <- c(.47, .21, .32, .18, .169, .128, .129, .181, .147, .121, .145, .103, .118, .094, .084, .078, .075)
plot(N.Users, Year)
cor(N.Users, Year)
cor(N.Users, Year, method = "spearman")
plot(YearlyChange, Year)
cor(YearlyChange, Year)
cor(YearlyChange, Year, method = "spearman")
(a) There is a very high positive correlation between the two variables.
(b) There is a moderately high negative correlation between the two variables.
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