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US crime data and focus on the state of New York

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US crime data and focus on the state of New York.Your job is to "cut-&-paste" the data and create 7 columns and label them Murder, Rape, Robbery, Assault, Burglary, Larceny and Car Theft respectively. Next you are to perform a regression where you are to predict the murder count using the remaining 6 variables. Finally, pick the two variables with the best P-values, this time using these two variables in order to predict the murder. Answer the questions using this new table only:


I) What are the two variables you picked?

- a. Rape and Burglary
- b. Rape and Larceny
- c. Car theft and Robbery
- d. Larceny and Car theft
- e. None of the choicesII) After getting the new table, choose the variable with the larger coefficient and describe its interpretation. 

- a. Rape; For every rape there are 0.15 murders
- b. Car theft; For every car theft there is an increase of 0.011 murders
- c. Car theft; For every car theft there are 0.006 murders
- d. Car theft; For every murder there are 0.011 car thefts
- e. None of the choicesIII) How good is the fit and why?

-a. Very good; P-values are extremely small
- b. Excellent; R-square is very close to 1
- c. Good; Some P-values are small and some are not
- d. Poor; Some P-values are small and some are not
- e. None of the choicesIV) Which of the two variables have a better P-value?

- a. Rape
- b. Larceny
- c. Murder
- d. Robbery
- e. None of the choices