Saturday, June 8, 2019

Love season Assignment Example | Topics and Well Written Essays - 500 words

Love season - Assign custodyt ExampleThis has contributed to an increase in the demand for the service resulting to an increase in cost.3. A good model works independent of the variables. In this situation, characteristic of people such as age, economic background and gender act as the basic variables. If more men than women are likely to buy beef jerky, then an appropriate model should constitute a nonlinear function that reduces to nix whenever the model is used for a female customer. To predict the demand for different products in the store using the demand model, the store owners should consider using weight data instead of using raw data (McGuigan, Foyer, Haris, 2008). Either of the two methods will account for differences in preference for beef jerky between men and women.4. When using a first order smoothing exponential to forecast the expected bargain of the toy, the difference values on academic calendar will tender the best values. Although parents have some negative at titudes towards the new toy, the educational benefits of the toy surpass the proposed disadvantage of the toy. The educational seasons will, therefore, determine the likelihood of the parents to buy the toy. A consequence model should, therefore, assign a certain weight to different months. This is because the sales of the new toy will vary according to the educational needs of the children. The sale of the new toy is expected to reach its peak during school holidays and drop drastically during school days. These variations will determine the demand of the new toy.5. From the NYT article, economic predictions strength be insignificant to many people but their implications affect all people. According to the NYT article, unemployment level is expected to increase to 9.8% and this correlates with Livingstone survey. The NYT article predicts an increase in gross domestic product while Livingstone survey predicts a fall in GDP. The two groups, however, express

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