We use cookies to create the best experience for you. Keep on browsing if you are OK with that, or find out how to manage cookies.
Nobody downloaded yet

Statistics Project Example

Comments (0) Cite this document
There are factors that were presumed to affect the price of housing. The factors include the cost of construction, inflation rates, interest rates and real property gains tax and population…
Download full paperFile format: .doc, available for editing
Polish This Essay94.5% of users find it useful
Read TextPreview

Extract of sample

Download file to see previous pages The main procedure utilized in this study was regression analysis. It was utilized to explain the total variation of the dependent variable, the price of housing. The dependent variable was accompanied by 5 variables, which were tested against the dependent variable to determine how much of the total variation is explained. The analyses also discussed the comparison of the different regression models, and determine which model is the most effective. In regards to the regression analysis results, it is clearly evident that model 4 and 5 are the strongest model and model 1 being the weakest. Model 2 and 3 does not apply because of the reasons given.
The first regression analysis step was to input all the collected data from the surveys into a spreadsheet. This process allows efficient running of regression models. After all the data was entered, there was formulation of the initial regression model. The analysis was done as in the next section.
In summary, basing on the multiple regression above it is observed that the cost of construction, inflation rates, interest rates and real property gains tax influence negatively the price of housing. On the other hand population influences positively the price of housing. The analysis of this model can be further analyzed to ascertain the strength of the influence as seen in the next section.
This first regression analysis shows a relatively weak model. The coefficient of Determination(R squared) shows that only 4% of the total variation is explained by the cost of construction factor. The standard error is 22.39, determined by the low R squared. In regards to the hypothesis testing, by considering an alpha of 0.05, the results indicate that this age variable is to be rejected. The independent variable of cost of construction demonstrates that the higher the cost of construction is, the less the price of housing and this is in line with several studies done. Thus the performance is less by -0.46633. ...Download file to see next pagesRead More
Cite this document
  • APA
  • MLA
(“Project Statistics Example | Topics and Well Written Essays - 1250 words”, n.d.)
Project Statistics Example | Topics and Well Written Essays - 1250 words. Retrieved from https://studentshare.org/statistics/1624961-project
(Project Statistics Example | Topics and Well Written Essays - 1250 Words)
Project Statistics Example | Topics and Well Written Essays - 1250 Words. https://studentshare.org/statistics/1624961-project.
“Project Statistics Example | Topics and Well Written Essays - 1250 Words”, n.d. https://studentshare.org/statistics/1624961-project.
  • Cited: 0 times
Comments (0)
Click to create a comment or rate a document
Capital Budgeting Statistics Project
All these decisions involve huge investment, the benefits of which will be seen only in the long-term and these decisions are also irreversible in nature. By nature of these projects, long-term sources of funds become the best suited means of financing.
21 Pages(5250 words)Statistics Project
b. The State-by-state unemployment rate data for year 2013 and year 2003 is collected from the U.S. Dept. of Labor, Bureau of Labor Statistics (BLS) web site (Last Modified Date: February 28, 2014).
3 Pages(750 words)Statistics Project
Business stat project
The discussion is based on the hypothesis that Cadillac has retained control of the segment of older men and has lost the other segment to its competitors and that this is
2 Pages(500 words)Statistics Project
Statistic project
The results of processing nominal data are the following. 62.5 % of classmates are female and 37.5 % are male persons. Most of the classmates prefer to eat at the restaurants of
3 Pages(750 words)Statistics Project
Econ Project
he regression line cuts the vertical axis whereas the coefficients of the variable represents the slope of the regression line, the coefficient of price is – 22.49817 and this implies that for every increase of 1 in the x-axis the value on the y-axis will change by -22.49817.
1 Pages(250 words)Statistics Project
Statistics project
Pradhan, Bele & Pandey (2013) establishes that the telecommunication sector is a vital component of any economy. Through the growth
5 Pages(1250 words)Statistics Project
Statistics project
The variables dealt in the data are: Sales per square metre which is referred by sales (also the target variable), Number of full timers which is referred by nfull, Number of part timers which is referred by npart, Total number of hours worked
6 Pages(1500 words)Statistics Project
Project report
This suggests a weak positive linear relationship between sales per square metre and number of full- timers. Figure 2 shows the scatterplot between sales per square metre and number of part-timers. As shown in figure 2, there
6 Pages(1500 words)Statistics Project
Regression analysis project
The necessary transformation in this regression process is the binomial transformation using “mylogit” function. The most important variable in this case is c.vol, because the estimated volume of prostate cancer is the
2 Pages(500 words)Statistics Project
Regression analysis project
The most important assumption for the OLS model is that the dat set need to follow a normal distribution. We therefore had to check whether our data set followed a normal distribution. It is clear that the data seems to come from a
2 Pages(500 words)Statistics Project
Let us find you another Statistics Project on topic Project for FREE!
Contact us:
Contact Us Now
FREE Mobile Apps:
  • About StudentShare
  • Testimonials
  • FAQ
  • Blog
  • Free Essays
  • New Essays
  • Essays
  • The Newest Essay Topics
  • Index samples by all dates
Join us:
Contact Us