Answer to Question #265682 in Management for appy

Question

2.Calculate the correlation between pairs (recommendedbelow) of the following variables and write interpretation for each correlation coefficient.(Note:Forthe followingpairs,correlationcanbecalculatedusingEXCEL.)   (10Marks)

RecommendedPairs:

1. Correlationbetween‘numberoffemalemigrantsforwork/employment’v/s ‘Number

ofmalemigrantsforwork/employment

2.Correlationbetween‘numberoffemalemigrants _ Education’v/s ‘Numberofmale migrants _Education’

3.Correlationbetween‘numberoffemalemigrants _Business’v/s ‘Numberofmale migrants _Business’

4.Correlationbetween‘numberoffemalemigrants _Marriage’v/s ‘Numberofmale

migrants _marriage’

 

Table:Statetostatemigrationwithreasons of migrationas percensus 2011.

Work/employmentBusinessEducationMarr iageWork/employmentBusinessEducationMarr iageState_name

FemalesFem alesFemalesFemalesMaleMaleMaleMaleJAMMU&KASHMIR (01)

4,911 495

 1,085

 43,13

 22,716

 1,985

 1,762

 1,372

 HIMACHA L PRADESH (02)

13,938 493

 3,200

 1,08,1

53

 95,255

 3,188

 5,647

 1,932

 

Answer 1

               When two pairings travel in a similar path, there is a favourable relation; when they advance in opposing ways, there is a minus correlation; and when the pairs move arbitrarily with no discernible link, there is no similarity. An inverted correlation is also known as a negative correlation. The correlation factor is computed by initially calculating the covariance of the values and then dividing that value by the product of the normal deviation of those values.

               Correlation is a quantitative estimate of the association involving two items in the economic sector. A relationship of -1 indicates that the two currency pairings will always fluctuate in a contrary way. A zero correlation indicates that the monetary pairings' connection is purely unpredictable. It is, quite exactly, a metric of how closely two factors are connected. As a result, when one variable rises while the other falls, or when one variable falls as the other falls. Height and weight are an instance of a favourable association.