28 30 22 25 Passenger 75 88 60 99 110 88 90 Table 1 The regression equation is Time = 4.58 + 0.228 Passengers Above in table 1 is the data collected from the various airports with similar trains along with calculated estimated regression equation which represent the least square line drawn through the scatter plot in fig 1. Figure 1 shows a graph of time versus passengers on a scatter diagram. The slope of the estimated regression is 0.228 positive,
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Regression Analysis Definition: Regression is used to examine the relationship between one dependent and one independent variable. After performing an analysis, the regression statistics can be used to predict the dependent variable when the independent variable is known. Regression goes beyond correlation by adding prediction capabilities. Types Of Regression Analysis: Most widely used two types of regression analysis are- I [pic]
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Methodology 26 Data collection 26 Primary research 26 Secondary research 27 Methodology 28 Descriptive statistics 28 Regression analysis 28 Variables 29 Limitations and assumptions 30 IV Analysis and results 32 Interview results 32 Summary statistics 36 Explanation of variables 36 Descriptive statistics 38 Correlation 44 Regression analysis 46 V Conclusions and recommendations 49 References 52 Appendix 56
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The current issue and full text archive of this journal is available at www.emeraldinsight.com/1475-7702.htm Individual differences and analyst forecast accuracy Ting Luo Department of Accounting, School of Economics and Management, Tsinghua University, Beijing, People’s Republic of China, and Analyst forecast accuracy 257 Wenjuan Xie Department of Accounting and Finance, Whittemore School of Business and Economics, University of New Hampshire, Durham, New Hampshire, USA Abstract
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World Journal of Social Sciences Vol. 1. No. 1. March 2011. Pp.107- 124 Exploring Consumer Behavior in the Context of Fast Food Industry in Dhaka City Nadia Farhana* and Shohana Islam** People in the Indian subcontinent have long been known for the delicious foodstuffs they prepare, serve, and eat. Times gone by suggest that they have used up a lot of their time, energy, and wealth to arrange their meals. But with the turn of the century, and changes in the socio-economic shape of the country
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the defendant variable. By applying regression model, the independent variable will be equal to the value of Pizzas that are sold. On the other hand, the independent variable will be the price of Pizza, household income and population (Downing & Clark 2010). The report will analyze the summary output acquired from regression to come up with decisions whether to establish Pizza in the community. This paper considers the simple type of regression analysis where there is one dependent variable
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QMM 241 – HW#5 – Multiple Regression 13.21 – Data It is cross-sectional and the unit of observation is a single Noodles restaurant. 13.22 – Data conditioning Yes the X and Y data is well-conditioned. The Y variable will be the Sales/SqFt which we will be able to figure out with a formula containing all the X variables and the variable magnitudes are all similar in all categories. 13.23 – Predicted signs Variable | Sign | Reason | Seats-Inside | Positive | The larger the size of the restaurant
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apartments, based on the size of the apartment, as defined by square footage. A sample of 25 apartments in a particular residential neighborhood was chosen. Q-2a: Construct a scatter plot of rent/size. Q-2b: Find the equation of the least squares regression line that models the relationship between square footage and rental amount and interpret the meaning of the coefficients. Q-2c: Predict the monthly rent for an apartment with 1000 square feet. Q-2d: Explain why it would not be appropriate to use
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Retail Location Analysis: A Case Study of Burger King & McDonald’s in Portage & Summit Counties, Ohio A thesis submitted to the College of Arts of Kent State University in partial fulfillment of the requirements for the degree of Masters of Arts by Niti Duggal December, 2007 Thesis written by Niti Duggal B.A. (Hons), University of Delhi, India 1996 M.A., Jawaharlal Nehru University, New Delhi, India 1998 MPhil, Jawaharlal Nehru University, New Delhi, India 2001 M.A., Kent State University
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Young Consumers in the New Marketing Ecosystem: An Analysis of Their Usage of Interactive Technologies Strayer University Marketing Research December 4, 2011 Abstract Over the last decade, the way we communicate with each other and the way we behave as consumers has changed drastically. With an entire generation growing up with iPads, iPods, smart phones, Internet and Facebook, marketers are facing the reality that traditional methods of reaching these consumers won’t be as effective as it
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