Statistical analysis of renovation cost and selling prices on basis of regression equation
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Added on 2020-10-05
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Regression analysis: Estimates SUMMARY OUTPUT Regression Statistics Multiple R 0.680978 R Square 0.463731 Adjusted R Square 0.441386 Standard Error 216593.2 Observations 26 ANOVA df SS MS F Significance F Regression 1 9.74E+11 9.74E+11 20.75365 0.000129 Residual 24 1.13E+12 4.69E+10 Total 25 2.1E+12 Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Statistical analysis of renovation cost and selling prices on basis of regression equation
Added on 2020-10-05
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TABLE OF CONTENTSASSESSMENT................................................................................................................................32...................................................................................................................................................3a....................................................................................................................................................3b...................................................................................................................................................3c....................................................................................................................................................5d...................................................................................................................................................53...................................................................................................................................................64.................................................................................................................................................10Estimations for renovation cost and selling prices on the basis of regression equation............115.................................................................................................................................................126.................................................................................................................................................13TASK 2..........................................................................................................................................13Summary of relevant data set....................................................................................................13Details of data source.................................................................................................................13Sampling technique used for obtaining data set........................................................................13Graphical presentation...............................................................................................................13Analysis.....................................................................................................................................15Principles of statistical standards...............................................................................................15Results........................................................................................................................................15Recommendations......................................................................................................................15
ASSESSMENT2.a. Computation of correlation ParticularsFiguresCorrelation between renovation cost andselling prices of estimates .68Correlation between renovation cost andselling prices of estimates.71b.Hypothesis:Null hypothesis (H0): There is no statistical significant correlation between renovation cost andselling price of houses. Alternative hypothesis (H1): There is a statistical significant correlation between renovation costand selling price of houses.Regression analysis: Estimates SUMMARYOUTPUTRegression StatisticsMultipleR0.680978R Square0.463731AdjustedR Square0.441386StandardError216593.2Observations26ANOVA
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