Predicting Share Prices and Clinical Outcomes
Added on 2020-10-05
10 Pages2160 Words162 Views
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STATISTICS AND DATA ANALYSISPROJECT
TABLE OF CONTENTSEXECUTIVE SUMMARY.............................................................................................................1Description of data.......................................................................................................................1Variance Inflation factor..............................................................................................................2Residual analysis.........................................................................................................................2Analysis of variance (ANOVA) table..........................................................................................4Coefficient of Determination R2..................................................................................................4Hypothesis Tests on Each input...................................................................................................5Coefficient...................................................................................................................................5Prediction of tomorrow’s share price..........................................................................................6CONCLUSION................................................................................................................................6REFERENCES................................................................................................................................7APPENDIX......................................................................................................................................8
EXECUTIVE SUMMARYImplication of statistical techniques for analysing the data base on which there will beinfluences of various tools and techniques to analyse the reliability and validity of the data base.In the present report, there will be analysis over share price of ESL Australia with a motive todetermine the relationship between changes in the prices of futures and market index. There willbe use of various methods such as ANOVA analysis, coefficient, regression etc. which willdemonstrate the true value of the data base.Description of dataIn respect with analysing the data base on which making adequate perception andevaluation of the data base which will be helpful in analysing the outcomes. Therefore, there are383 days which were being selected by researcher in respect with analysing the data base (Gaoand et.al., 2018). In respect with selection of the trading outcomes where company’s share priceswere being considered on which future change variable will be denoted as the dependent variable(Y).Moreover, in respect with analysing the outcomes as the independent variables on whichthere have been consideration over other elements. In respect with that there have been use ofcompany’s shares, 30 years Aluminium, Aluminium vel1, Aluminium vel1 x West Texas vel1,market index S&P500, Airline index, copper, currency value UK and Euro. Therefore, thesevariables have been denoted as the independent variables (X) in the analysis. Therefore, toclearly understand the financial assets which have been implicated for analysing the data basesuch as:Year x Year (share price of ESL Australia)30year x AluminiumAluminium vel1Aluminium vel1 x West Texas vel1SP500 x West Texas vel1Airline Index vel1Copper vel1SP500Euro vel1UK Pound vel11
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