Question

Are marriages of people who met on line more or less likely to end in divorce? Are marriages of people who met on line happier or less happy? Recent research says that marriages of people who met on line are happier in their marriages, and their marriages last longer. For instance, in 2012, some researchers asked a nationally representative sample of almost 20,000 people who married between 2005 and 2012 questions about a variety of things including: (1) questions on marital satisfaction that the authors combined into a Marriage Satisfaction Index , and (2) how they met - online or not. They ran these regressions on the sample of 20,000 people (which includes both those who met on line and those who did not) where: Marr-Satis: Marriage satisfaction, measured 1 through 7, with 1 being extremely unhappy and 7 being perfect. Years-married: How many years it has been since the person was married (ranging from 0 for those married in 2012 to 7 for those married in 2005). On-Line: A dummy variable = 1 if the person met online (either at an online dating site, on a social networking site, or at some other site), 0 otherwise. Regressions: (standard errors in parentheses) (1) Marr-Satis = 5.040 (.011) + .188 (.018) On-Line + e (2) Marr-Satis = 5.203 (.0203) + .0.105 0.0179) On-Line - .036 0.0039) Years-married + e

Answer 1

U Marr-saty. +0.188.018 on-line to harr-satig = 5.040 (0.011) onting to This a regression equation with a dummy co-variates with on-line al now, - Line o a) Average satisfaction leusel of individual who I met their shouse on-line , on-line - 1 Mars-eatis = 5.040 + 0.188 X 1 5.040 +0.1885 5.228 (1 ) 4 Avesage satisfaction of individual who met their spouse off-line, offline = o Maro-satis - 5.040 + 0.188XO 3 5.040 (1) Singnificant difference . We know that to test a coefliceent whether it is a significant or not, all as follows use t-test tab , standard Error=s.E(B) s.elB) so += 0.18% 10.44 0.018 now p-value = P(TSE) a PLT) 10.44) P-value t 0.0001 At 5% level of significance prvalue is much less than 0.05. so - Vest satisfatós level is statistically different , Cs Scanned with Camscanner

240 dowe, ich a new regression is given thora Marr. Cotu a bet the sed on presious equation , we will estreade cument estimate ut offline al err live co bor 5014 lut will remain come as average b. = 5.228 . value of on-line in previous" a " I equation. (b) b = - Od 88 1. so the Ear will be I Marr-salis = 5.228 + (-0.188) off line te er 5.228 – 0,189 off-line te I en given seeend equation the Coefficant of Year Married is 0.036 which means that after one year massiage satisfaction decrease by the amount of 0.036 since it is negative. d) coeffient of on-line in regression (2) bia 0.105 it means that on massage of on-line the avesage ete satisfaction level increase by 0.105 while keeping other covariates constant Scanned with CamScanner