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Regression Model - Maltese economy

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Added on  2020-01-06

Regression Model - Maltese economy

   Added on 2020-01-06

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APPLIED ECONOMICS
Regression Model - Maltese economy_1
TABLE OF CONTENTINTRODUCTION.......................................................................................................................................2Question 1...................................................................................................................................................2Question 2...................................................................................................................................................7(2) Factors of the Maltese economy that mostly affected during recession time period from 2008-20109(3) Values of real GDP at constant prices................................................................................................9(4) Charting of real and nominal GDP...................................................................................................11(5) Charting of Malta economy and EU real GDP growth rate..............................................................13(6) Do GDP indicate high quality of life................................................................................................15CONCLUSION.........................................................................................................................................15REFERENCES..........................................................................................................................................16
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INTRODUCTIONEconomics is one of the important domain in which number of studies are conducted time totime. In this report, regression model is applied and relationship between stock value and other variablesis identified. ANNOVA table is produced in the report and its various aspects are described in detail inthe report. In the second part of the report, Maltese economy is analyzed on the basis of various factorsand performance of mentioned nation is compared with EU economy growth rate and comments are doneon same.Question 1Regression is an important method that is used to establish relationship between two variables. This toolis also used to measure relationship between two variables (Bramwell, 2011). The extent to which onevariable is affected by other variable is identified by the statistical tool. It also helps in making predictionabout the values of the variables. In context of economics also regression analysis is used in whichvariables is market value of retail firm’s shares value, total assets, net profit, 5 yr EPS growth rate andtotal debt. Values of these things of 20 companies are taken and relationship of market value with totalassets, net profit, 5yr EPS growth and total debt is identified. On application of regression analysis someof the values comes as outcome of the calculation. These calculated values are given below.Regression StatisticsMultiple R0.935128R Square0.874465Adjusted R Square0.840988Standard Error4972.992Observations20ANOVAdfSSMSFSignificance FRegression42.58E+096.46E+0826.122041.31578E-06
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Residual153.71E+0824730650Total192.96E+09CoefficientsStandard Errort StatP-valueLower 95%Upper95%Lower95.0%Upper95.0%Intercept-1431.961449.901-0.987620.339001-4522.3472831658.434-4522.351658.434X Variable 11.3961640.8279681.6862540.112429-0.3686076733.160936-0.368613.160936X Variable 222.838733.4783696.565938.95E-0615.4247594530.2526915.4247630.25269X Variable 32.68775533.855190.079390.937772-69.4728703274.84838-69.472974.84838X Variable 4-2.392721.899049-1.259960.226935-6.4404494921.655006-6.440451.655006RESIDUAL OUTPUTObservationPredictedYResiduals1-427.841327.8424327.166669.733734705.736-598.6364-421.4381772.038580.68888843.91116-1247.012116.1067-1709.591777.49821551.45-11735.4
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