Use theUS_CRime.txtdata to extract 4 columns of data: Murder, Robbery, Larceny, and Burglary for South Carolina. Your task is to use multiple regression and predict the Murder count based on the other three variables. Create the appropriate regression table and answer the questions.Numerical answers are rounded so choose the answer that matches the best:

1. What is the standard error and what would be a one sentence interpretation of this number?

• a. 36; It is the number that correlates the number of murder with the numbers of robberies, larcenies and burglaries.
• b. 36; Our prediction for the number of murders when there are no robberies, larcenies and burglaries
• c. 17; It is the number used to create the prediction interval of the number of murders.
• d. 36; Our prediction for the number of murders will be accurate plus/minus 36 murders.
• e. None of these

2. What is the coefficient next to Burglary and what would be a one sentence interpretation of this number?

• a. 0.004468; For each murder, the number of burglaries increases by this amount.
• b. 0.004468; In a case of zero burglaries, we expect this amount of murders.
• c. 2.28E-07; It is the number that correlates the number of murder with the numbers of robberies, larcenies and burglaries.
• d. 0.004468; For each burglary the number of murders increases by this amount.
• e. None of these

3. What is the statistical interpretation of the number 288.37?

• a. It helps us to create the prediction interval.
• b. It is the how much the number of murders will increase if there are no robberies, larcenies, and burglaries.
• c. When there are no robberies, larcenies and burglaries, this is the expected number of murder.
• d. It tells us the total number of robberies, larcenies, and burglaries when there is no murders.
• e. None of these

4. Give an interval prediction of the murder count in South Carolina if we recorded 65000 counts of robbery, 715000 counts of larceny, and 215500 counts of burglary.

• a. [2105.30, 2442.43]
• b. [5605.58, 5677.30]
• c. [1288.07, 1359.79]
• d. [1612.30, 1697.95]
• e. None of these