加拿大论文代写：线性回归模型

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加拿大论文代写：线性回归模型

两种方法都有各自的优缺点。线性回归模型应该在数据连续不断地增加或减小的情况下使用，在线性基础上形成线性模型，当数据非常复杂且不能以线性模式绘制时，逻辑回归模型是合适的。因此，线性回归模型更适合于不那么复杂的数据，而logistic回归模型更适合于复杂的数据(业务统计，2010)。

或者，如果线性回归模型的精度系数与logistic回归模型的精度系数相差很小，或非常小，则应以精度系数的形式表示。然后使用线性回归模型，但如果存在较大差异，则应使用logistic系数。

给定数据集的定量方法

通过分析给定的数据集,可以说,线性回归模型是适合给定的数据集。因为它可以说精度系数线性回归模型在商品成本是0.9657 0.9939逻辑回归模型,同样,操作成本分别为0.8585和0.8839,利息成本分别为0.8974和0.9006,和销售分别是0.9653和0.9940。因此，线性回归定量模型适用于给定的数据集。

统计分析

对给定数据的统计分析如下:

数据的依赖性问题

在给定的数据中，数据依赖是一个问题，因为数据不是完全依赖的。提供数据的实体不是固定的。数据可能有出入。数据也很波动。我们来看看利息成本。利息成本的曲线不是很波动，但它没有依赖性。

加拿大论文代写：线性回归模型

Linear Regression Model vs. Logistic Regression model
Both methods have their own advantages and disadvantages according to the needs. Linear regression model should be used where the data are continuously increasing or decreasing by forming on a linear basis, which forms a linear look while the logistic regression model is appropriate when data is very complicated and can’t be drawn on a linear pattern. Thus, the linear regression model is more appropriate for the less complicated data and logistic regression model is more appropriate for the much complicated data (Business Statistics, 2010).
Or, it should be expressed in the form of accuracy coefficient if there is negligible or very small difference between the accuracy coefficient of the linear regression model and logistic regression model. Then linear regression model should be used but if there is a large difference then logistic coefficient should be used.
Quantitative method for the given data set
By analysing the given data set, it can be said that the linear regression model is appropriate for the given data set. As it can say that the accuracy coefficient for linear regression model in Cost of goods is 0.9657 while of logistic regression model is 0.9939, same way, for the operating cost it is 0.8585 and 0.8839 respectively, for Interest Cost it is 0.8974 and 0.9006 respectively, and for the sales it is 0.9653 and 0.9940 respectively. As the results say the difference between the accuracy co-efficient is negligible, thus linear regression quantitative model is appropriate for the given data set.
Statistical Analysis
The statistical analysis of the given data is as follows:
Dependency Problem with the data
There is a problem with the data dependency in the given data as the data is not purely dependent. The entities for which the data is provided are not fixed. There may be discrepancy in the data. The data is also very much fluctuating. Let’s look at the interest cost. The curve in the interest cost is not very fluctuating but it has no dependency.

加拿大数学论文代写：净现值

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加拿大数学论文代写：净现值

净现值：NPV（净现值）投资评估方法是接受项目，积极npv.npv通过贴现现金流出和流入的资本投资项目选择的目标投资回报率或成本获得的值（这里是资本即WACC加权平均成本）。虽然净现值法在技术上优于IRR，计算更简单，但仍有缺点。它比资本收益率长期难以计算（ROCE）或投资回收期方法。这是净现值法的一个主要缺陷，非会计人员或对账目和财务基本了解的人很难得出NPV的最终准确数字。它的计算包括找到准确的贴现率。折现率的1%甚至2%的微小变化会在很大程度上扭曲结果。

内部收益率（IRR）的投资评估方法是接受那些IRR（净现值为零的比率）超过目标收益率的项目。

当现金流是传统的（即第一次负现金流，然后是正现金流）时，这通常是有用的。如果在几年内现金流是正的，然后是负的，然后又是正的；IRR方法可能会产生不同的结果。此外，它还考虑了资金的时间价值和项目现金流的所有时间。

另一方面，它没有考虑到项目中任何变量变化的敏感性。IRR完全忽略了投资的相对大小。

折现回收期：折现回收期（以年为单位），是指从资本投资项目的适当资本成本折现现金流入等于现金流出的时间。

加拿大数学论文代写：净现值

NPV: The NPV (Net Present Value) method of investment appraisal is to accept projects with a positive NPV.NPV is the value obtained by discounting all cash outflows and inflows of a capital investment project by a chosen target rate of return or cost of capital (here it is the weighted average cost of capital i.e. WACC). Even though the NPV method is technically superior to IRR and simpler to calculate, but it still has its drawbacks. It is lengthier and harder to calculate than Return on Capital Employed (ROCE) or payback period methods. This is a major drawback of NPV, and non-accountants or people with just basic understanding of accounts and finance find it hard to arrive at a final and accurate figure for NPV. Its calculation involves finding an accurate discount rate. A slight change of even 1% or 2% in the discount rate can distort the results to a great extent.

IRR: The Internal Rate of Return (IRR) method of investment appraisal is to accept those projects whose IRR (the rate at which the NPV is zero) exceeds a target rate of return.

This is mostly useful when cash flows are conventional (i.e. first negative cash flows, then a stream of positive cash flows). If in some years cash flow is positive, then negative, and then positive again; there may arise different results from the IRR method. Moreover, it considers the time value of money and all of a project’s cash flows.

On the other hand it doesn’t take into account the sensitivity of change of any variable in the project. IRR completely ignores the relative sizes of investments.

Discounted Payback Period: Discounted Payback Period (expressed in years) is the time it takes the cash inflows discounted at an appropriate cost of capital from a capital investment project to equal the cash outflows.