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For this question you will use the dataset "murder.xls", which includes:• rate = Murder rate per 100,000• convictions = Number of convictions divided by number of murders• executions = Average number of executions divided by convictions• time = Median time served (in months) of convicted murderers• income = Median family income (in 1,000 USD)• lfp = Labor force participation rate (in percent)• noncauc = Proportion of population that is non-Caucasian• southern = Factor indicating region.
1. Use the MATLAB "regress" function to estimate the following model:
ratei = β0 + β1incomei + β2noncauci + ui.
Estimate the coefficient for the impact of income on murder rates.The answer should be -3.19.
2. Recall that you can obtain the OLS estimate of β using the following matrix operation:β =(XT X)-1XT y. Use the matrix operation commands in MATLAB tocalculate β for the intercept, income, and noncauc. Hint Your first step should be creating the matrix, X, that includes a constant, income and noncauc. I also recommend breaking the operation out into steps, rather than trying to do it all in one line of code.
Consider the following 2008 data for Newark General Hospitals (in millions of dollars Simple Budget_______Flexible Budget_ Actual Budget__ Revenue______$4.7$____4.8_____$4.5_
What do you mean by base case NPV?
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what if 50% of customers who switch from pisa pizza who switch from original pizza to healthier pizza then switch to another brand from healthier pizza.
calculation
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