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Purpose: Testing assumptions under the Classical Linear Regression Model (CLRM) and diagnostics.
Task: Use the Fama-French 3-Factor model to run the following tests and alternative techniques to account for violations of the classical linear regression assumptions (CLRM) of the monthly returns of a portfolio of stocks consisting of an equal weighting of five stocks (Pfizer, Kraft Foods, AT&T, Home Depot, Du Pont). The data file used for this assignment is attached (port.dta).
Attachment:- Assignment.rar
A snack food manufacturer selected a sample of 15 bags of pretzels off the assembly line and weighed their contents. If the sample mean is 10.0 and the sample standard deviation is 0.15
If we know that 20 people will attend, what price should be charged per person to break even?
Results Show the results and details of the tted regression models in appropriate tables and possibly any relevant graphs. Provide an interpretation of the results and a comparison of the three techniques for modeling (gee, glmm,transition).
Tourism is one consideration for CoffeeTime's future, A survey of 1,233 visitors to mumbai last year revealed that 110 visited a small cafe during their visit.
Use each decision criterion (maximin, maximax, minimax regret, expected value) to determine the price that Pizza King should charge.
A manufacturer claims that the life span of its tires is 52,000 miles. You work for a consumer protection agency and you are testing these tires. Assume the life spans of the tires are normally distributed.
A survey of 1,233 visitors to Mumbai last year revealed that 110 visited a small cafe during their visit. Laura claims that 10% of tourists will include a visit to a cafe.
Use the Rare Event Rule. Does the evidence support the claim?
Which trend model is best, and why? If none is satisfactory, explain. (e) Make a forecast for 2004 by using a trend model of your choice or a judgment forecast.
The lifetime of a light bulb is an Exponential RV with a mean of 800 hours. Let L represent the time (in hours) that one randomly selected light bulb will burn. What is the possibility the light bulb burns for more than 1000 hours.
What is the probability that a random sample of size 400 will have less than 49% of the people who balance their checkbooks at least once per month?
A local bank reports that 80 percent of its customers maintain a checking account, 60 percent have a savings account, and 50 percent have both.
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