A) which variables are likely to be redundant ( i.e , they are likely to be simi

Question

A) which variables are likely to be redundant ( i.e , they are likely to be similarly associated with the dependent variables).
B) How does this influence the starting model for regression ?
C) identity possible sets of sets of variables for use in regression. As output Page 9 of 31 Question 3 -Association of communicable and non-communicable disease with economic and health resources. Part a Correlation The CORR Procedure 10 variables: gov pcs all pcs income pc phys pt drinkg5 sanitg5 drinkoo sanitoo drinko5 sanito5 Simple Statistics N Mean Std Dev Sum Minimum Maximum Variable gov pcs 237 701.43291 1036 166240 14.60000 6355 all pcs 2337 484.49536 778.41901 114825 1,70000 4521 income po 225 g594 12037 2158710 200 000000 69040 phys pt 126 1.06478 1.10313 134.16204 0.02228 621522 drink95 227 90 67841 12.16289 20584 14.00000 100.00000 sanit95 227 70,00881 28.68119 15892 9.00000 100.00000 drink00 231 91 24675 10. 21078 36.00000 100.00000 231 71.19048 28.14308 sanit00 16445 10.00000 100.00000 drink05 230 93 77391 8.61514 21568. 47.00000 100.00000 ta 30.84453

Explanation / Answer

A) I think the variable, phys_pt is likely to be redundant as it's correlations with the other variables are not too high ....

B) This will influence the regression analysis model as over fitted ....

C) The possible sets of variables for use in regression are :-

Generally, 3 sets are found .... as among the following sets the variables within the set is highly correlated....

S1={gov_pcs, all_pcs, income_pc}

S2={drink95, drink00, drink05}

S3={sanit95, sanit00, sanit05}

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.