analysis is a technique used in statistics for investigating and modeling the relationship between variables (Douglas Montgomery, Peck, & Vinning, 2012). Simple linear regression: Simple linear regression is a model with a single regressor x that has a relationship with a response y that is a straight line. This simple linear regression model can be expressed as y = β0 +β1+xε whereβ the intercept 0 and β the slope 1 are unknown constants and ε is a random error component . Multiple linear regression:
not significantly different from zero. The statistic for this test is where T is the sample size, m is the number of lags and is the estimated autocorrelation coefficient. The null hypothesis for this test is that the coefficients are all jointly zero and has a distribution. The alternative hypothesis is that at least one of the coefficients is not equal to zero and implies the presence of serial correlation. We can estimate the Ljung-Box statistic in Eviews by creating a correlogram for the
elasticity of the demand is assumed to be constant. Constant elasticity is the basic assumption under a log-linear demand curve. Part 2: Regression Analysis Summary Table: Linear Demand Curve Regression Stat... ... middle of paper ... ...s and Statistics, 59 (3), 355-359. Christ, Carl F. (1985). Early Progress in Estimating Quantitative Economic Relationships in America. American Economic Review, 75 (6), 39-52. Eales, James S., & Unnevehr, Laurian J. (1988). Demand for Beef and Chicken Products:
intended population with respect to the size of the sample data, any inferences implied from this analysis are merely observations and should not be applied as absolute findings with regards to the entire credit card consumer population. Descriptive statistics was performed for each of the three characteristics (variables), Charges, Income, and Household, from the survey. The sample data reveals the average credit card user has an Income of $43,480, a Household consisting of 3.4 people, and has $3,964
I read Barron’s How to Prepare for the AP Statistics Exam. A very educational book helped a lot on the AP test. It clarified ideas that I was uncertain on. It helped me to understand when to use each test and the assumptions needed for each test. Type I and Type II errors were explained in such a way that they became crystal clear to me instead of muddy. Computer and Minitab outputs were thoroughly explained, and I became comfortable with them after reading this book. The Barron’s guide also
theory are provided below. Variables Descriptions A Prior expectation Ln FDI Log of foreign direct investment + Ln INV Log of investment + Ln YAGR Log of Agric productivity + LnXoil Log of oil export + Ln IMP Log of imports - ECM Error Correction Mechanisms _ U Stochastic error term Source: The Author c. Estimation of
The first law of geography states that “Everything is related to everything else but near things are more related than distant things” (Tobler, 1970 p236). In statistics, we call this phenomenon as spatial autocorrelation. In general sense, we can define the spatial autocorrelation as the extent to which objects or activities in the geographical proximity are related to other objects or activities on the surface of earth. In spatial analysis, we are dealing with information that is quite distinct
R^2 can be assume a value between 0 and 1, the closer R^2 is to 1, the regression model can explained the observed data. For example, from the regression statistics of Coca-Cola stock, the adjusted coefficient of determination, instead of the coefficient of determination to test the fit regression model. Step 6 Performing a joint hypothesis test on the coefficients A multiple regression equation helps in the
Summary This report analyses social and economic factors such as, risk of poverty, employment rate and population completed at least upper secondary education. In this report you can find summary of the data, descriptive statistics, correlation and regression analysis, which shows that poverty has a small negative relationship with employment rate and negative relationship with education. Thus, this means if countries would increase employment rate and increase number of people who finish secondary
two basic reasons: (1) it is the conference Berea College is trying to become a member of, so it would help me analyze potential, future competition; (2) the HCAC has 10 teams, which made sampling easy. To collect the data, I randomly selected the statistics for three OH from each of the 10 member’s athletic page1. I gathered two types of data on each player: height and blocks per set. The sample size for my data is 30, the most occurring height is 70,” and the average height for an OH is 69.5.” This
inflation have an impact on the banks stock returns but to a very small extent. Hence the null hypothesis is rejected and alternative hypothesis is accepted , i.e., there is significant impact of inflation on the bank’s stock returns . more over the F statistic values and the probability values of both the independent variables i.e., the impact of exchange rates and inflation are showing a positive relationship with the bank stock returns. The reasons for the bank stock returns not having much impact by
to this growing patient population. Obesity is now considered a global epidemic, with particularly concentrated numbers in the United States. In 2011-2012 more than one-third of U.S. adults were estimated to be obese (National Center for Health Statistics, 2013). Due to the increasing prevalence of the epidemic, anesthesiologists must manage a significant number of clinically obese patients. A large range of physiological variations are associated with obesity, including cardiac, respiratory, and
Descriptive statistic is a statistic analysis to describe the characteristic of the respondents (Pallant, 2013). This study employs descriptive statistical analysis which gives value of mean, median and standard deviation of the respondents based on several indicators, such as sex/gender, educational level, position at work and income of the respondents. By using these indicators, the researcher describes the profile of the respondents. Hence, it can give some valuable information about the respondents
For as long as there have been roads to drive on, Americans have had a love affair with their cars and trucks. Ever since consumers became interested in car design and styling in the 1920s, the car manufactures have invested in innovation to quench the thirst of the American car buyer (Pauwels, Silva-Risso, Srinivasan, and Hassens, 2004, p. 143). When I was young, September was the time of year when the car manufactures showcased the new models, generating excitement and of course new sales. In
a matter of fact, statistics about casual factors of accidents and incidents in complex work places absolutely show the human contribution not as a lack of skill, but as miscommunication, inattention, physical and mental work load, poor situation awareness, bad decision making, ineffective action planning, inability to deal with stress, emotional load, and organizational dysfunctions (Reason, 1990; Dekker, 2005). All these elements have generically been classified as “human error” and could be due
Reinventing Juvenile Justice. Newbury Park, CA: Sage Publications, Inc., 1993. McGarrell, Edmund F. Juvenile Correctional Reform: Two Decades of Policy and Procedural Change. Albany, NY: State University of New York Press, 1988. Renner, Tari. Statistics Unraveled. Washington, DC: International City Management Association, 1988. Snyder, Howard N. and Melissa Sickmund. Juvenile Offenders and Victims: A National Report. Washington, DC: Office of Juvenile Justice and Delinquency Prevention, 1996
To: Dr. Ahmad Baijou, GBU 3304 From: Hamza Darouichi Date: April 29, 2014 Subject: Proposal for a project about the estimation of the Moroccan tourism demand Purpose The purpose of this proposal is to distinguish the diverse variables that have an effect on tourism in order to assemble a model which assesses the tourism demand in Morocco. Summary Tourism industry is recognized as the second biggest outside trade source in Morocco, after the phosphate business. The Moroccan government is vigorously
major factor, but not much research is done on the cognitive factors that lie within each socioeconomic group (Ball, Crawford, , 2009). Normally the research on obesity is restricted to data found in the Unites States and refuses to include the statistics of other countries that might not be as developed, such as China (He, James, mu0pu, Zheng, 2014). Age is also another variable contributing to the unhealthy weight gain in the population worldwide. Childhood obesity has become such a big issue
Comparing the Use of a Leisure Center Among Men and Women A researcher is interested in surveying the proportion of male and female users of a leisure centre. He is able to sample 50 users of the leisure centre and records their gender with a 1 (males) and a 2 (females). He hypothesises that there is a greater proportion of males than females amongst all the users of the leisure centre. Introduction The research question is interested in determining whether there’s a higher proportion
Lossless compression of audio is being popular during the last few decades due to rapid and advanced technology of high quality sound production improved. Lossless compression is a class of compression algorithms that allows the original data to be reconstructed perfectly from the compressed one while for lossy compression, it permits reconstruction only approximate to the original one and it is commonly allows for improved compression rates and smaller in file size. Speech coding can be defined