Presentation On Theory Of Decision Science regression model with three explanatory variable Of Life satisfaction.(Y)
Jun 24, 2015
Presentation On Theory Of Decision Science
regression model with three explanatory variable
Of Life satisfaction.(Y)
Presented by:- ▪ Suhail Manjardekar 05
▪ Amar Itagi 47
▪ Shardul Thakker 38
▪ Kunal Sharma 61
Independent variables (X’s)
▪ Income (X1)
▪ Sprit (X2)
▪ Socio economic status of parents (X3)
Data collection
N Y X1 X2 X3
Data analysis using SPSS
1-fitting the regression model
2-Overall significance of the model & ANOVA table
Interpretation of the model
▪ Apriority Analysis.
▪ Statistical Analysis.
▪ Econometric Analysis.
Apriority Analysis
It is Assumed that
▪ Life satisfaction (Y) is α to Income (X1)
▪ Life satisfaction (Y) is α to Spirit (X2).
▪ Life satisfaction (Y) is α to Socio-economic status of parents(X3).
Statistical Analysis
▪ The regression model is “Y=16.472+0.123 X1+0.158 X2+0.174 X3”
1-ELASTICITY
▪ η1 (β1)= 0.169 under elastic (<1).
▪ η2 (β2)= 0.179 under elastic(<1).
▪ η3 (β3)= 0.1797 under elastic(<1).
2-OVER ALL SIGNIFICANCE OF THE MODEL
R square=0.264
Since R square < 0.7 the overall significance of the model is not good.
3-ANOVA table
▪ Since F value < F table therefore do not reject H0 and conclude that β1,β2,β3 are insignificant i.e. they are 0, and model is not good.
4-INDIVIDUAL TEST(t-test @5%level of significance)
▪ β0=1.676 < 2.120 (16) conclude that β0 is insignificant.
▪ β2=1.698 < 2.120 (16) conclude that β1 is insignificant.
▪ β3=0.982 < 2.120 (16) conclude that β2 is insignificant.
▪ β1=0.978 < 2.120 (16) conclude that β3 is insignificant.
Econometric Analysis
1-AUTOCORELATION
Since it lies between du and 2,there is no autocorrelation.
0 0.998 1.676 2 2.324 3.012 4
0 du dl 2 4-du 4-dl 4
d=1.821
2-MULTICOLINEARITY
▪ Since in F test and individual test we are not rejecting H0 i.e. in both the cases the β’s are insignificant or zero; there is no multicolinearity in the model.
Also
▪ VIF (variance inflation factors) for β0=1.062, β2=1.091, β3=1.037 are < 10 therefore there is no multicolinearity exsist in the model.