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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.
Cherry Ltd has the following segment information from the consolidated financial statements for the years ended 31 December 2011 and 2012: Operating segments C V I N$ N$ N$ Sales
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