StudentShare
Contact Us
Sign In / Sign Up for FREE
Search
Go to advanced search...

Statistics Project Work - Essay Example

Cite this document
Summary
STATISTICAL COMPUTATION OF GLOBAL COMPETITIVENESS INDICES By: Presented to: Institution: Date: Introduction Below is a computation of economic and governance indicators including GDP/ Capita, Price Inflation and Savings Rate for 20 countries selected randomly from across the globe…
Download full paper File format: .doc, available for editing
GRAB THE BEST PAPER94.8% of users find it useful
Statistics Project Work
Read Text Preview

Extract of sample "Statistics Project Work"

Download file to see previous pages

2 Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig. 95% Confidence Interval for B B Std. Error Beta Lower Bound Upper Bound 1 (Constant) 19.212 2.953 6.505 .000 12.981 25.443 GDP per Capita 7.072E-05 .000 .243 1.028 .318 .000 .000 Price Inflation .103 .401 .061 .258 .800 -.742 .949 a Dependent Variable: Savings Rate SR = 19.212 + 0.0000707(GDP) + 0.103(PINF) + u ‘u’ is the noise- an identically and independently distributed (iid) random variable. i) b0, the intercept would be expected to assume a positive sign; b1, the coefficient of GDP is expected to have a positive sign since GDP is intended to contribute positively to the ability of a nation to save; b2, the coefficient of price inflation is expected to have a negative coefficient since inflation has a negative contribution to the ability of a nation to save. ii) The marginal propensity to consume is worked out when disposable income and change in consumption are both available in a dataset.

The disposable income is in this case the amount left after the individual has spent out on all the essential needs. It could be equated to the savings rate. Therefore using the above obtained equation we can formulate it to be: SR = 19.212 + 0.0000707(GDP) + 0.103(PINF) + u iii) b0 is positive (19.212). This value has an impact on the general values obtained using the model, though not necessarily on b1 and b2 since the model was developed from a purely randomized data- the GDP, SR and PINF for any country are the products of many other factors that cannot be controlled with certainty (Wood, Hewlin & Lah, 2011). iv) The ‘u’ term in these equations stands for the noise (the uncontrollable random variable) whose nature is random and unpredictable. 3. ANOVA(b) Model Sum of Squares df Mean Square F Sig.

1 Regression 85.335 2 42.667 .612 .554(a) Residual 1184.575 17 69.681 Total 1269.910 19 a Predictors: (Constant), Price Inflation, GDP per Capita b Dependent Variable: Savings Rate Coefficients(a) Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 19.212 2.953 6.505 .000 GDP per Capita 7.072E-05 .000 .243 1.028 .318 Price Inflation .103 .401 .061 .258 .800 a Dependent Variable: Savings Rate Both the GDP per Capita and the tice inflation (PINF) have positive coefficients, which means that they contribute positively to the ability of the nationals to save.

The situation is as real as it happens in real sense. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .259(a) .067 -.043 8.34751 a Predictors: (Constant), Price Inflation, GDP per Capita From the adjusted R-square statistic, it is noted that only 4.3% of the variation in the ability of nationals to save can be explained by the two independent variables together (GDP per capita and price inflation of commodities). This is a clear indication that there are other more powerful determinants of the the ability of a nation to save.

The unrepresented factors account for as much as 95.7% of the total variation observed. 4. Descriptive Statistics N Std.

...Download file to see next pages Read More
Cite this document
  • APA
  • MLA
  • CHICAGO
(“Statistics Project Work Essay Example | Topics and Well Written Essays - 1250 words”, n.d.)
Statistics Project Work Essay Example | Topics and Well Written Essays - 1250 words. Retrieved from https://studentshare.org/statistics/1475098-statistics-project-work
(Statistics Project Work Essay Example | Topics and Well Written Essays - 1250 Words)
Statistics Project Work Essay Example | Topics and Well Written Essays - 1250 Words. https://studentshare.org/statistics/1475098-statistics-project-work.
“Statistics Project Work Essay Example | Topics and Well Written Essays - 1250 Words”, n.d. https://studentshare.org/statistics/1475098-statistics-project-work.
  • Cited: 0 times

CHECK THESE SAMPLES OF Statistics Project Work

Capital Budgeting Statistics Project

This project "Capital Budgeting Statistics Project" discusses a significant managerial decision that influences the risk and return of the investors.... The company will have to plan its capital structure at the time of promotion itself and also subsequently.... hellip; Business firms need finance mainly for two purposes – to find long-term decisions and for meeting the working capital requirements....
18 Pages (4500 words) Statistics Project

Statistics Project, Political Science

Apart political science, the discipline of international politics draws intellectual materials from the fields engineering and technology, economics, international law and history, philosophy, sociology and geography, social Work, anthropology, and criminology, gender studies and psychology, culturology and cultural studies (Black 66)....
2 Pages (500 words) Statistics Project

Statistical Data Analysis of Teacher Training Practices in Qatar

This chapter presents the results for stage one needs analysis survey which was employed to identify, describe and explore the current scene of INSET in Qatar.... Data will be presented in tables and/or charts using frequency, percentage and mean scores.... Number of responses for… As discussed in the first panel report, my study is a three-stage investigative action research project....
21 Pages (5250 words) Statistics Project

Relations and Modeling of GDP and House price index of USA

The study of the relations and modeling of the GDP and the House price Index of USA is one of the critical economic footings that have been used to determine the economic welfare of the society.... Amidst the crises that have hit the nation since 2007-2008 economic down swings,… halted the global financial and economic markets, the statistics that relate the GDP and directly what affect people's lives, house index is very important....
7 Pages (1750 words) Statistics Project

Criminal Activity and Education in The UK

This paper will use descriptive statistics techniques for summarizing the key features of the data.... This paper will use correlation and regression analysis techniques for testing the relationship between variables and estimating the regression model for predicting BR.... hellip; The purpose of this project is to explore the extent to which judicial penalties (sentencing, the probability of a conviction) deter criminal activity and whether crime is related to social problems....
10 Pages (2500 words) Statistics Project

Statistics project what factors affects the happiness of a country

The study is based on the concept that everybody requires all the factors mentioned in order to be happy, hence, there is a positive relationship… The other concept further states that people's happiness depend on their countries, hence some countries are happier than others are (Stefan 38). ...
10 Pages (2500 words) Statistics Project

Pair-Wise Correlation Coefficients between Sales per Square Meter

Employees Work in an organization on full-time basis as well as short-term basis.... Speaking of organizational infrastructure, it has to facilitate the streamlining of operational processes and as to support as well as motivate the employees.... As… In that direction, every aspect of organization infrastructure from rooms, cabins, hallway, and others have to be designed and operated in an effective When the organizations' infrastructure or environment is organized aptly, it will positively influence the employees....
10 Pages (2500 words) Statistics Project

Relationship between Sales and the Independent Variables

"Relationship between Sales and the Independent Variables Full Timers, Part-Timers, and the Number of Hours Works" paper attempts to predict the dependent variable or response variable y (sales) on the basis of assumed linear relationship with predictor or independent variable.... hellip; From the regression coefficient analysis, it can be observed that the number of the coefficients of hours worked is significant since the value of the p-value is 0....
5 Pages (1250 words) Statistics Project
sponsored ads
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.
Contact Us