Perform a linear regression on the data captured in column Police (X) on Robbery (Z)

3.2. Report on the relationship between the two variables in item 3.1 above.

3.3. Perform a comparison of means test between columns Robbery (Y) and Robbery (Z)

STATE AL AK AZ AR 38ZGID= $9=399522222 2 2 7 X X X +887*55 DE FL GA HI IL KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY POLICE (X) ROBBERY (Y) ROBBERY (Z) 230 1321 1194 350 900 4412 310 1936 2550 190 809 436 270 3842 676 270 1601 666 260 2180 1100 280 1370 1797 300 3555 23 240 1976 1450 290 1902 1710 240 468 242 320 2170 2852 210 1414 1331 200 549 3644 230 1131 4316 200 952 2328 290 1970 4415 200 308 626 310 3927 553 290 2355 3128 250 2440 2571 190 991 1322 200 810 2191 280 2236 3464 240 340 2344 220 822 2284 360 4606 482 240 420 3646 350 3037 317 280 1279 1327 370 6413 4284 220 823 2348 180 77 368 210 2237 3181 230 1049 3270 240 1524 3392 240 1779 3938 280 1186 2214 240 1181 3945 200 201 3776 210 1806 2455 240 2085 4217 240 802 3274 200 389 772 230 1201 3682 210 1351 1200 180 485 3049 240 707 551 310 4097 5 44 STATE AL AK AZ AR 38ZGID= $9=399522222 2 2 7 X X X +887*55 DE FL GA HI IL KS KY LA ME MD MA MI MN MS MO MT NE NV NH NJ NM NY NC ND OH OK OR PA RI SC SD TN TX UT VT VA WA WV WI WY POLICE (X) ROBBERY (Y) ROBBERY (Z) 230 1321 1194 350 900 4412 310 1936 2550 190 809 436 270 3842 676 270 1601 666 260 2180 1100 280 1370 1797 300 3555 23 240 1976 1450 290 1902 1710 240 468 242 320 2170 2852 210 1414 1331 200 549 3644 230 1131 4316 200 952 2328 290 1970 4415 200 308 626 310 3927 553 290 2355 3128 250 2440 2571 190 991 1322 200 810 2191 280 2236 3464 240 340 2344 220 822 2284 360 4606 482 240 420 3646 350 3037 317 280 1279 1327 370 6413 4284 220 823 2348 180 77 368 210 2237 3181 230 1049 3270 240 1524 3392 240 1779 3938 280 1186 2214 240 1181 3945 200 201 3776 210 1806 2455 240 2085 4217 240 802 3274 200 389 772 230 1201 3682 210 1351 1200 180 485 3049 240 707 551 310 4097 5 44