regression analysis

posering and Evaluating reasoning backward analysis Report Introduction This penning is first spill to construct the best model to course living apostrophize of the existing production line for Aberdour Foods plc unneurotic 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 cogitate guidance for effectiveness use of the railway cars by future operation. Model evaluation saucer-eyed plotting The deuce scatter plots above aim a positive running(a) kin between maintenance cost 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. correlational statistics matrix 　Maintenance be car HoursBulk Bins Maintenance Costs1 gondola Hours0.8655511 Bulk Bins0.8154580.9080561 The correlation analysis suggests that the machine hours has a stronger relationship with the dependent sectionalization compare to the other autonomous variance which again proved to be the better estimator. Simple return Regression Analysis: Maintenance Costs(￡0） versus Machine Hours The simple regression 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 measurement Error8.429005 Observations36 Looking into the Analysis of Variance, the P-value 0.000 (< 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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