Identifying the pattern of costs relative to average age:

This report is based on the quantitative analysis of both of the airlines i.e. Southeast and Northern Airlines. The quantitative analysis explicitly identifies the pattern of maintenance costs whether the airframe or engine maintenance costs. The quantitative analysis discusses the pattern of these maintenance costs with different perspective. The first view at the maintenance costs is with the perspective of comparison between the two companies. For this purpose, the maintenance costs for both the companies are assessed graphically to identify the pattern of maintenance costs separately.

Identifying the pattern of costs relative to average age:

The graphical presentation of the maintenance costs i.e. the airframe and engine costs for both the companies is provided below. At a glance of these graphs it can be determined that the airframe costs for the Northern airlines is higher than the engine costs, whereas this relationship is opposite for the Southeast airlines i.e. the engine costs are higher than the airframe costs for South east. In addition to this analysis, it can also be suggested that for the Northern airlines the maintenance costs began after the average airframe age of 6000 hours while the same is not true for the Southeast airlines. For the Southeast airlines, the maintenance costs began after earlier about after the average airframe age of 5000 hours. This implies that the aircraft quality of the Northern airlines is better in terms of the maintenance costs than the Southeast airlines. The pattern of the maintenance costs suggests that the airframe costs for both the airlines have declining pattern while the engine costs are increasing for both the airlines. This can imply that as the average age of the aircraft increases, it would enhance the engine costs by a fair amount while the airframe costs tend to decrease in this process

Assignment on Analysis By ABC Date: Analysis Report: This report is based on the quantitative analysis of both of the airlines i.e. Southeast and Northern Airlines. The quantitative analysis explicitly identifies the pattern of maintenance costs whether the airframe or engine maintenance costs. The quantitative analysis discusses the pattern of these maintenance costs with different perspective. The first view at the maintenance costs is with the perspective of comparison between the two companies. For this purpose, the maintenance costs for both the companies are assessed graphically to identify the pattern of maintenance costs separately. Identifying the pattern of costs relative to average age: The graphical presentation of the maintenance costs i.e. the airframe and engine costs for both the companies is provided below. At a glance of these graphs it can be determined that the airframe costs for the Northern airlines is higher than the engine costs, whereas this relationship is opposite for the Southeast airlines i.e. the engine costs are higher than the airframe costs for South east. In addition to this analysis, it can also be suggested that for the Northern airlines the maintenance costs began after the average airframe age of 6000 hours while the same is not true for the Southeast airlines. For the Southeast airlines, the maintenance costs began after earlier about after the average airframe age of 5000 hours. This implies that the aircraft quality of the Northern airlines is better in terms of the maintenance costs than the Southeast airlines. The pattern of the maintenance costs suggests that the airframe costs for both the airlines have declining pattern while the engine costs are increasing for both the airlines. This can imply that as the average age of the aircraft increases, it would enhance the engine costs by a fair amount while the airframe costs tend to decrease in this process. Correlation: Though graphical interpretation of the data is useful but it is important to identify if any actual relationship between the independent variable (average age) and the dependent variables (maintenance costs) exists in real. For this purpose, the correlation between the airframe costs and the average age is calculate for both the airlines. The results of this statistical procedure is provided below in the tabular form. Correlation Northern Airlines Southeast Airlines   Airframe Cost Average Age   Airframe Cost Average Age Airframe Cost 1 Airframe Cost 1 Average Age 0.877157591 1 Average Age 0.624868 1 The correlation suggests the strength and direction of the relationship between the variables. Thus, in the above table the correlation between the airframe cost and the average age for the Northern airlines is higher than that of the Southeast airlines, whereas the direction of relationship is positive for both the airlines. This implies that as the average age of the aircraft increases the airframe costs of the airline increases for both the airlines. Linear Regression: In addition to the correlation, the relationship between the engine maintenance costs and the average age can be determined as well. For this purpose, the linear regression for both the airlines’ engine costs and the average age is conducted. The output of this regression model is provided in the table below. Table SEQ Table \* ARABIC 1: Linear Regression for Engine costs and Average age for Northern Airlines 1905019050Table SEQ Table \* ARABIC 2: Linear Regression for Engine costs and Average age for Southeast Airlines 03276600The output of linear regression for both the airlines suggested the following models of linear regression. Linear Regression Northern Airlines: Enginecosts=20.571+0.0026×AverageageSoutheast Airlines: Engine costs=2.5826+0.0034×Avergae ageThese models suggests that the with a unit increase in the average age, the engine cost for Northern airlines will increase by 0.0026 units. On the other hand, a unit increase in the average age for the Southeast airline, the engine cost will increase by 0.0334 units. In addition, the engine cost for Northern airlines at average age of zero will be $20.571, whereas this engine cost will be $2.5826 for Southeast airlines. Variance among the Maintenance Costs: The pattern of maintenance costs can be determined by the variance in the costs data. Looking at the output for the airframe costs and engine costs of the linear regression with average age for both the airlines, the coefficient of determination or the R-square is the estimate for the variation in the dependent variable by the independent variable. Thus, the around 61% of the variation in the engine costs for Northern airlines is explained by the average age while this figure is 30% for the Southeast airlines. On the other hand, the output suggests that 76% and 39% of the variation in the airframe costs for Northern and Southeast airlines is explained by the average age respectively. Table SEQ Table \* ARABIC 3: Linear Regression for airframe costs and Average age for Northern Airlines 00 Table SEQ Table \* ARABIC 4: Linear Regression for airframe costs and Average age for Southeast Airlines 03175As far as the maintenance procedures are concerned of both airlines, the graphical presentation of the maintenance costs suggest that the maintenance costs is needed at earlier stage for the Southeast airlines than for the Northern airlines. This implies that the maintenance procedures for Northern airlines are better than Southeast airlines. Conclusion: The quantitative analysis of the maintenance costs of the airlines along with their average age of aircrafts has provided great insight for the concern of the maintenance costs. The analysis suggests that the maintenance procedure at the Northern airlines is better and the average age of aircrafts at which maintenance is needed is higher for this airlines. Thought, the graphical presentation shows that the magnitude for the maintenance costs for Northern airlines is higher than the Southeast airlines. In addition to this insight, the maintenance costs are found to be highly correlation with the average age of the aircrafts for both airlines, specifically higher for Northern airlines. As far as the goodness of fit is concern regarding the average age and the maintenance costs, more variation in the maintenance costs is explained by the average age for Northern airlines while this figure is small for Southeast airlines. This implies that for Southeast airlines aging of the aircraft is not the greatest cause for the maintenance costs. Thus, this situation implies that the maintenance cost for Southeast airlines should be more focused and their determinants must be found.

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