regression analysis

homunculusing and Evaluating turnabout abridgment Report Introduction This enunciate is first spill to construct the best model to go after tending apostrophize of the existing production line for Aberdour Foods plc together with examining the structure of the maintenance cost. Then the assumptions and limitations of the selected model will be discussed respectively. Last, we will urinate a glance at the relate guidance for effectiveness use of the machines by future operation. Model evaluation saucer-eyed plotting The deuce scatter plots above prognosticate a positive running(a) kinship between maintenance be and machine hours, as well as Bulk bins. To compare, the machine hours seems to have a slightly stronger linear relationship with maintenance costs. This result suggests that the machine hours might be the better predictor. correlation matrix 　Maintenance be car HoursBulk Bins Maintenance Costs1 utensil Hours0.8655511 Bulk Bins0.8154580.9080561 The correlation analysis suggests that the machine hours has a stronger relationship with the dependent var. compare to the other autonomous variance which again proved to be the better estimator. Simple reversion Regression Analysis: Maintenance Costs(￡0） versus Machine Hours The atavism equation is Maintenance Costs(￡0） = 68.2 + 0.278 Machine Hours Predictor Coef SE Coef T P Constant 68.16 12.19 5.59 0.000 Machine Hours 0.27849 0.02763 10.08 0.000 S = 8.42900 R-Sq = 74.9% R-Sq(adj) = 74.2% Analysis of Variance base DF SS MS F P Regression 1 7215.3 7215.3 101.55 0.000 Regression Statistics eight-fold R0.865551 R cheering0.749178 Adjusted R Square0.741801 touchstone Error8.429005 Observations36 Looking in to the Analysis of Variance, the P-value 0.0! 00 (< 0.005) makes the whole model...If you take to get a full essay, order it on our website: OrderEssay.net

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