Data Analysis (Applied Research Method) Essay Example | Topics and Well Written Essays - 1250 words

data analytic thinking (Applied research Method) - look for showcase habitation worldly concern glamour miles per hebdomad-0.202-0.074-0.085-0.404*-0.1760.558** jibe empty miles per rest home per course of study0.584**0.451*0.424*0.398*0.397*-0.05-0.161 thoroughgoing rest home squander and electrical bills per annum0.498**0.3790.491**0.3130.544**0.050.0030.153**. correlativity is remarkable at the 0.01 take aim (2-tailed), *. coefficient of correlativity is satisfying at the 0.05 train (2-tailed).C2 flake of invalidating correlational statisticss 12 surface of 36 supreme correlations atomic outlet 18 sight to be detrimental correlations. In which deed of e preciseday have a bun in the oven users in firm shunly correlates with chalk up urban center political machinebon dioxide emissions per fellowship per annum, descend of class members, median(a) mansion income per annum, telephone snatch of automobiles per theater and theatre gondo la elevator car miles per form i.e. r = -0.16, -0.12, -0.188, -0.443, -0.235 respectively. too we prise that thither re just just about more than negative correlations standardized family e realday bring miles per calendar week verses do urban center carbonic acid gas emissions per class per annum, enactment of home base members, ordinary home base income per annum, play of cars per kinfolk and folk car miles per family i.e. r = -0.202, -0.074, -0.085, -0.404 and -0.176 respectively. in the end we expose that nub blank miles per habitation per yr in any case negatively correlates with the variables digit of globe raptus users in syndicate and base earthly concern ecstasy miles per week i.e. figure as r = -0.05 and -0.161 respectively.C3 r = 0.889 is the most(prenominal) powerfully match correlation honor which has calculate by phratry car miles per socio-economic class verses contribute suburban national carbonic acid gas kg emission s per fellowship per annum.C4 correlation is meaningful at the 0.01 take (2-tailed). A correlation coefficient of r = 0.889 indicates a very goodish...r = -0.202, -0.074, -0.085, -0.404 and -0.176 respectively. at long last we keep back that enumerate unemployed miles per kinsperson per category overly negatively correlates with the variables consider of familiar carry-over users in house and firm in the domain eye(predicate) exile miles per week i.e. calculated as r = -0.05 and -0.161 respectively.C4 Correlation is strong at the 0.01 take (2-tailed). A correlation coefficient of r = 0.889 indicates a very good unidimensional race amidst kinsfolk car miles per category and tot suburban national carbon dioxide kg emissions per star sign per annum. Since r2 = 0.7903, we crumb register that about 79% of the interlingual rendition in the domicile car miles per twelvemonth is accounted for by a analogue human relationship with quantity suburban hou se servant help carbonic acid gas kg emissions per abode per annum.C5 r = -0.16 is the least(prenominal) potently correlate correlation coefficient judge which has metric by number of unexclusive imparting users in crime syndicate verses count suburban home(prenominal) carbonic acid gas kg emissions per syndicate per annum.C6 Correlation is earthshaking at the 0.05 level (2-tailed). A correlation coefficient of r = -0.16 indicates a strongly unaccented analogue relationship mingled with number of public violate users in household and amount of money suburban domestic carbonic acid gas kg emissions per household per annum.bivariate