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Practical 1
Using Excel carry our linear regression analysis
Simple linear regression (i) Y on X1 (ii) Y on X2 (iii) Y on X3 (iv) Y on X4 (v) Y on X4 (vi) Y on X6
Scatter Plot for (i) Y on X1 (ii) Y on X2 (iii) Y on X3 (iv) Y on X4 (v) Y on X4 (vi) Y on X6
Correlation between Y, X1,X2, X3, X4,X5,X6
Multiple linear regression Y on X1,X2, X3, X4,X5,X6
mlr.txtPractical 2
Using SPSS carry our linear regression analysis
Correlation between Y, X1,X2, X3, X4,X5,X6 with significance
Multiple linear regression Y on X1,X2, X3, X4,X5,X6
Stepwise Multiple linear regression Y on X1,X2, X3, X4,X5,X6 using Backward selection method
For full regression model and stepwise fitted model-comment on VIF , DW test Multicollinearity , QQ plot for residuals
Reg Diagnostics
Reg Diagnostics
Regression diagnostics Nature Methods volume13, pages385–386 (2016) https://www.nature.com/articles/nmeth.3854.pdf
Regression diagnostics Nature Methods volume13, pages385–386 (2016) https://www.nature.com/articles/nmeth.3854.pdf
LPM LOGIT PROBIT
LPM LOGIT PROBIT
Carry our linear Probability model, Logit , Probit
coke.txtPCA
PCA data home work
FACTOR Analysis
Google Sites
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