ECON2206 Assignment 1 [pic] Question A [pic] in the equation above describes the relationship between price of the house and the size of the lot. The coefficient of “log(lotsize)” is the estimated elasticity of “price” with respect to “lotsize”. From this number‚ we learn that in this model‚ an additional square feet increase to the lotsize would increase the house price on average by[pic] %‚ assuming that the other independent variable in this model are held constant. Question B I would
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Properties of OLS estimators Population regression line: E(y|x)=1+2x‚ Observation = systematic component + random error: yi = 1 +2 x + ui Sample regression line estimated using OLS estimators: = b1 + b2 x Observation = estimated relationship + residual: yi =+ ei => yi = b1 + b2 x + ei Assumptions underlying model: 1. Linear Model ui = yi - 1- 2xi 2. Error terms have mean = 0 E(ui|x)=0 => E(y|x) = 1 + 2xi 3. Error terms have constant variance (independent of x) Var(ui|x)
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Study Guide into the Fear‚ Greed‚ Fraud‚ Hubris and Massive Self-Delusion of the Financial Crisis of 2008-2010 by JMP (draft Aug 1‚ 2010) based upon TOO BIG TO FAIL author: Andrew Ross Sorkin (NYTimes) The Big Short author: Michael Lewis (Liar’s Poker) 13 Bankers: The Wall Street Takeover and the Next Financial Meltdown authors: Simon Johnson (MIT & IMF) & James Kwak CRISIS ECONOMICS: A Crash Course in the Future of Finance authors: Nouriel Roubini (NYU-Stern) & Stephen Mihm (NYTimes)
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Project 1: Linear Correlation and Regression Analysis Gross Revenue and TV advertising: Pfizer Inc‚ along with other pharmaceutical companies‚ has begun investing more promotion dollars into television advertising. Data collected over a two year period‚ shows the amount of money Pfizer spent on television advertising and the revenue generated‚ all on a monthly bases. |Month |TV advertising |Gross Revenue | |1 |17 |4.1 | |2
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Types of Variables Binary variable Obsevations (i.e.‚ dependent variables) that occur in one of two possible states‚ often labelled zero and one. E.g.‚ “improved/not improved” and “completed task/failed to complete task.” Usually an independent or predictor variable that contains values indicating membership in one of several possible categories. E.g.‚ gender (male or female)‚ marital status (married‚ single‚ divorced‚ widowed). The categories are often assigned numerical values used as lables
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Name: Work independently!!!! 1. To answer questions‚ copy and paste essential charts and excel results into this word file‚ and explain in details. 2. After you finish‚ send this word file and your excel spreadsheets to Problem 1. (50pts) From microeconomic theory it is known that the demand for a commodity generally depends on the income of the consumer‚ the real price of the commodity‚ and the real price of complementary or competing products. Chicken.xls includes the per capita consumption
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Limitations: Regression analysis is a commonly used tool for companies to make predictions based on certain variables. Even though it is very common there are still limitations that arise when producing the regression‚ which can skew the results. The Number of Variables: The first limitation that we noticed in our regression model is the number of variables that we used. The more companies that you have to compare the greater the chance your model will be significant. We have found that
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There are three basic operational rules which help to simplify the use of the sigma notation. 1. For any integer N Operational Rules for Summation N i i N i i N i i i y x y x 1 1 1 2. If c is a constant‚ that is‚ does not depend on the index of summation i‚ then Continue... Nc c and x c cx N i N i i N i i 1 1 1 The graphical representation of data gives us the idea on the shape of the distribution
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Mid Term Exam 15.062 Data Mining Problem 1 (25 points) For the following questions please give a True or False answer with one or two sentences in justification. 1.1 A linear regression model will be developed using a training data set. Adding variables to the model will always reduce the sum of squared residuals measured on the validation set. 1.2 Although forward selection and backward elimination are fast methods for subset selection in linear regression‚ only step-wise selection is guaranteed
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Delta Song Case Analysis Possible cost drivers that will allow us to estimate a salary cost function for Delta are: available seat miles‚ number of departures‚ available ton miles‚ revenue passenger miles‚ and revenue ton miles. The two cost drivers we chose were revenue passenger miles and available ton miles. The salaries consist of payments to pilots‚ flight attendants and ticket agents. Their salaries are determined by the number of passengers and cargoes and the miles or hours flown. This is
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