## CHECK THESE SAMPLES OF Five Regression Models

...variables in the specification. The **model** is specified as follows: The results of this **regression** are presented in table 3. Table 3: Results of OLS estimation including only the significant variables Observe first from the table above that the signs and the significances of the included variables remain the same. That is to say all the variables included have estimated coefficients that are statistically significantly different from zero implying that these variables are the representatives of the factors that do influence the variability of property crime across states in the United States. The f-test statistic and the associated p-value reported in the upper right hand corner of the table confirm the...

6 Pages(1500 words)Essay

...?Multiple **Regression** 0 General Purpose Multiple **regression** is simply an extension of linear **regression**, a statistical process which seeks to find the linear relationship between an independent variable and a dependent variable. In the case of multiple **regression**, the main purpose is to find the linear relationship between the dependent variable and a number of independent variables (Yan & Su, 2009). Multiple **regression** is one of the most widely used tools in statistical analysis because it is a very good reflection of real world situations. That is, a certain outcome is almost always affected by a number of predictors rather than just a single one...

20 Pages(5000 words)Term Paper

...? This paper is about analyzing the relationship between the benefits offered to an employee and his/her total, intrinsic and extrinsic job satisfaction. A study like this can help the management in retaining employees and in avoiding legal or ethical issues which could have surfaced if the employee is not satisfied with his job. Introduction In order to check the relationship between benefits and the intrinsic, extrinsic and total job satisfaction, 3 bivariate **regressions** are run. Using the **regression** equations the linear relationship between the independent variable (benefit) and the 3 sets of dependent variables (total job satisfaction, intrinsic job satisfaction and extrinsic job satisfaction) is...

3 Pages(750 words)Research Paper

...? Porter **Five** Forces Topic: Porter **Five** Forces Strategic management involves the decisions and actions taken to execute a company`s strategies which enables it to compete effectively with its environment. The first step in this process requires the managers to construct a precise strategy which works as a plan of action required for the attainment of the goals and plans set by an organization. In order to formulate this strategy or the plan of action, managers can use a very popular and effective **model** of Porter`s competitive forces and strategies. This **model** was a result of the research and study of Michael Porter who studied a number of firms or organizations and gave a...

3 Pages(750 words)Essay

.... However, even with the inclusion of the other variables, it is still believed that the other variables have some slight correlation to each other. For instance, food services are likely to be impacted on by gas prices and the same is true for unemployment rates. Conclusion Understanding relationship between variables often requires a number of assumptions if the process is to be successfully. In **regression** analysis, there are a number of assumptions often made, **five** of which are applied in each. It is important to mention that these assumptions are not merely meant to guide formulation of the **model** for analysis but they play an extremely useful role in directing the kind of tests...

3 Pages(750 words)Speech or Presentation

...it means, it has stronger relationships.
Moreover, if the significance level is very small, practically less than 0.05, then, it means that the correlation is significant at the same time the two variables are linearly related. However, if the significance level is moderately large, then the correlation is insignificant and these two variables are not linearly related. The t statistics will determine the relative significance of each variable in the **model**. As a guide on the useful predictors, note for t values well, -2 or above +2. R squared is defined as the variation's proportion in the dependent variable and explained by the **regression** **model**. R square values range from 0...

3 Pages(750 words)Essay

...Linear **Regression** and **Regression** Analysis **Regression** is a technique in statistics that enables estimation of the relation existing among variables. The technique seeks to estimate the strength of the relationship between one variable with another or a set of variables. However, when applying this technique, the statistician makes assumptions with regard to the variables and their relationship. **Regression** is based on the assumptions that there exists a linear relationship between the involved variables and that they have an additive relationship. There are many **regression** techniques one of them being linear **regression**. Linear...

2 Pages(500 words)Assignment

... **Regression** **Models** discussion Multiple **regression** analysis is a sophisticated process for projecting market movement or sales volumes to create all-inclusive growth plans. This method is more accurate since it looks at how the modification of two or more variables will affect one variable. Multiple **regression** analysis is used in day-to-day business decision making and in resolving important predicaments facing businesses. A good example is when Coca cola wants to evaluate the factors perceived to influence the demand for its products. In this scenario;
Dependent variable: sales (units/ week)
Independent variables: Advertising ($100’s) and Price (in $)
The sales **model** will be; sales = b0 + b1 (advertising) + b2 (price... )
The...

1 Pages(250 words)Essay

...Crime Statistics and **Regression** **Model** Literature Review In order to gain a better understanding of a particular area of study, it is important to review the literature. This will provide the necessary background information and a better understanding of what has been done before and what further work needs to be done. A literature review provides information on conflicting information in different studies and may also provide information on the reliability of the information obtained on the basis of the data used and the methodology employed in carrying out the research studies. It may also provide valuable information on how best to conduct a study of this type based on the criticisms noted in other studies. It may also direct... , in the...

8 Pages(2000 words)Research Paper

...**Regression** Analysis **Models** for Marketing Decision Making
Synopsis
Introduction
Decision-making is the core of business, and correct decisions result into businesses thriving. Marketing decisions in a company are made based on information that is as a result of data interpretation or analysis. Analysis of quantitative data which is mainly measurable is done through several statistical **models**. The research seeks to identify various **regression** analysis **models** being applied by businesses in trying to get information from quantitative data and the information being used in making a business decision especially in the marketing department.
**Regression** Definition
**Regression** analysis is a statistical technique that determines linear... ...

2 Pages(500 words)Essay