1. Propose any one interaction hypothesis among the set of independent variables for each of the two models and provide rationales for your proposition.
2. Test whether your proposition is supported by the data
- Attachment 1
- Attachment 2
LEPENdent Variable : SALARYMethod : Least SquaresDate : 03123/} Time : 17 : 1 1Sample : 1 447Included observations : $47VariableCoefficient5td . Errort – Statistic*Frog .BET. SITE5.95. 29391. 4301 120. 151 1TOTCONF_ MEY’L0. 0143025. 5$ 4 320ELLZOO’DTENURE HEY’LL27. 400.553.02 2090Q.OOZTAGE MEY’LL7.03434.910. 9527}Q. BAZZAESALES MEY’LLQ.013970Q. QUEZ ZO2. 21 1BOOQ.OZT’SPROFITS MEY’LQ. TO]SEE1. 5GBSUBD . TITEASSETS MEY’LQ.OUTSETF`-EquaTED0. 315831 Mean dependent varZOZ7. 517Adjusted RE-EquaTEDO. JDEEDY &.D. dependent varIT ZZ. SEES. E. of regression1434. 494 Akaike info Criterion17. 390.5 5SUM EquaTed TESic9. 05Et DE Schwarz criterion17. 4547`Log likelihood- 3BTQ. TOE Hannan- Quinn Criter .17. 415BEF- Statistic73. BEZEQ Durbin – Watson Stat2.029317ProbiF – Statistic )Q.OOOOOO
