Use us_crime-hw7 data to extract 4 columns of data: murder, robbery, motorvehicletheft, and assault for hawaii. your task is to use multiple regressions and predict the murder count based on the other three variables. create the appropriate regression table and answer questions 6 to 9. numerical answers are rounded so choose the answer that matches the best: 6. what is the standard error and what would be a one sentence interpretation of this number? (5 points) a. 11.56; number of murders. b. 11.56; predicted number of murders if other crimes are zero. c. 11.56; our prediction for the number of murders will be accurate plus/minus 11.56 murders. d. 11.56; our prediction for the number of murders should be enlarged by 11.56 murders. e. none of these 7. what is the coefficient next to robbery and what would be a one sentence interpretation of this number? (5 points) a. 0.032174; for each robbery the number of murders increases by this amount. b. 0.032174; when robberies are zero the intercept is 35.375. c. 6.27e-09; for each robbery the number of murders increases by this amount. d. 0.032174; in a case of zero robberies we expect this amount of murders. d. none of these 8. what is the statistical interpretation of the number 35.37472? (5 points) a. it does not offer any statistical prediction. b. it is the x-intercept of the line. c. it tells us how accurate the prediction is. d. it tells us the predicted number of murders in hawaii if there are zero robberies, assault, and motorvehicletheft. e. none of these 9. give an interval prediction of the murder count in hawaii if there existed 1600 counts of robbery, 1500 counts of assault, and 1550 counts of motorvehicletheft. (5 points) a. 74.81297 b. [63.255, 86.371] c. [27.88, 50.997] d. [87.334, 110.451] e. none of these