ECONOMETRICS An econometrician wanted to investigate the effects of family size () and income () on household consumption expenditure (). Using a sample size of 89 households he obtained the following results in deviation form. 50.5 -66.2 36.8 -66.2 967.1 39.1 0.0218 0.0015 0.0015 0.0011 , , , […]
Describe how to interpret the parameters of the recorded model. Is there a reason to prefer one coding over the other?
Programming – Altering Dummy Variable Values Consider the two variable regression problem with a dummy variable in the design matrix: g = /30 + thi+ 71+ e, where 1 is a dummy-variable that is coded 1 if the observation satisfies a certain condition, and is 0 ti otherwise. Consider replacing the 0 and 1 values […]
Comparing the two equations, which model has estimated signs corresponding to your prior expectations? Can one argue that model 2 is preferred on the basis of fit?
ASSIGNMENT Consider the following two least-squares estimates of the relationship between interest rates and the federal budget deficit in the United States: Model 1: N = 56, R2 = 0.00 where: = Interest rate on AAA corporate bonds = Federal budget deficit as percentage of GNP Model 2: .369 N = 38, R2 = […]
Discuss the appropriateness of using simple linear regression and make any recommendations regarding the prediction of overall score using just the price of the camera.
CASE ASSIGNMENT Read the Case Problem 3 (Selecting a Point and Shoot Digital Camera) presented at the end of Chapter 14 in the textbook. Answer the following questions: Develop numerical summaries of the data. Using overall score as the dependent variable, develop three scatter diagrams, one using price as the independent variable, one using the […]
Explain why your regression equation was implemented the way you defined it, and how you believe your explanatory variables and controls are adequate.
Econometrics Project Introduction The econometrics project will be an opportunity to apply the concepts learned in class to write an empirical paper on a topic of choice. Students will need to select a topic, formulate a research question, and apply the analytical and quantitative skills acquired in this course to a data set to answer […]
Prepare a report that examines the relationship between the selling price of properties and their size in square feet. Report the mean, median, and standard deviation of the listing price and the square foot variables.
Report: Selling Price and Area Analysis for D.M. Pan National Real Estate Company Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for […]
Calculate the coefficient of determination. Determine the regression equation. Is there a positive association between the size of the house and its selling price?
Correlation coefficient 1-A sample of 12 houses that were sold last week in San Juan is selected. Can we conclude that, as the size of the house (reported in thousands of square feet in the table below) increases, so does the sale price. The following table in thousands of square feet), the selling price (reported […]
Find the regression equation to estimate the sale of tyres when the motor registration is known. Estimate sale of tyres when registration is 850.
Statistics Practice Exercise Questions Calculate coefficient of correlation by the concurrent deviation. Supply Price 112 106 125 102 126 102 118 102 118 104 121 98 125 96 125 97 131 95 135 90 The table shows the number of motor registrations in a certain territory for a term of 5 years and the sale […]
Determine r and what it means, including determining the strength of the correlation and discussing how you determine the direction of the association between the two variables.
Topic: Real estate Summary Statistics for MAT 240 Real Estate Data (for dataset in Modules 2, 3, and 4) n Mean Median Std. Dev. Min Q1 Q3 MaxListingprice ($)1,000 342,365 318,000 125,914 135,300 265,250 381,600 987,600Cost persquarefoot ($)1,000 169 166 41 71 139 191 344Squarefeet1,000 2,111 1,881 921 1,101 1,626 2,215 6,516This graph shows the […]
Discuss how you determine the direction of the association between the two variables. Is there a positive or negative association?
Topic: 3-3 Assignment: Real Estate Analysis Part II You have submitted your initial analysis to the sales team at D.M. Pan Real Estate Company. Continue your analysis of the provided Real Estate Data Spreadsheet spreadsheet using your selected region to complete your analysis. You may refer back to the initial report you developed in the […]