Use Excel to develop a regression model for the Hospital Database (using the "Excel Databases.xls" file on Blackboard) to predict the number of Personnel by the number of Births. What can you conclude from the study? O The number of personnel is not adding significant predictability to the number of births in a hospital. O The number of births is not adding significant predictability to the number of personnel in a hospital. O The number of personnel is adding significant predictability to the number of births in a hospital. The number of births is adding significant predictability to the number of personnel in a hospital.

Classes 10 11 13 6 8 13 9 10 6 13 14 9 7 10 8 12 10 12 10 10 10 8 7 12 12 10 10 12 10 12 11 10 7 12 6 12 13 12 10 11 10 11 10 11 15 8 12 9 11 11 9 8 9 9 17 10 8 12 9 8 12 11 9 10 11 9 12 10 11 14 8 8 14 8 12 3 11 8 8 11 12 10 8 8 10 11 7 11 11 12 9 10 11 9 13 12 7 12 10 13 USE EXCEL with explanation please

Zip Code 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 93905 405 93905 760 4 93905 630 4 93905 from ho 640 ales above, 3 93905eath ip 749 find: sampl 4 93905 503 3 93905 43908 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 93906 Price 714 855 598 769 529 795 715 635 989 93901 93901 93901 93901 790 605 800 480 660 799 900 799 640 650 93906 do the 1069 93906 700 93906 819 635 850 840 625 730 728 840 845 785 700 609 739 685 675 565 595 Bedrooms 3 5 3 4 2 5 3 4 6 4 3 5 3 2 3 3 4 6 3 3 2 4 3 4 3 4 4 3 4 4 4 3 2 3 3322 Baths 1 3 3 3 1 3 2 3 3 3 1 3 1 1 3 2 13 abd 3 1 3 3 2 3 3 2 2 2 3 2 3 2 3 3 2 3 3 3 3 2 3 2 2 1 1 Square Feet 821 2658 1638 2607 729 2253 1529 1980 3074 2607 948 2076 1089 863 2255 1353 1442 1837 920 2450 1877 1231 2191 3043 1814 1498 1240 2905 1328 2195 1112 2156 2276 1450 2400 2191 2207 1852 1077 1501 1152 1420 816 1212

I would appreciate someone checking my figures and checking my answers identified in red for accuracy in the attached files. I am a novice in statistics and apprecaite any help I can get.

race RDG 1 34 1 47 1 42 1 39 1 36 1 50 1 63 1 44 1 47 1 44 1 50 1 44 1 47 1 42 1 42 1 47 1 60 1 39 1 57 1 73 1 47 1 39 1 35 1 39 1 48 1 31 1 52 1 47 1 36 1 47 1 34 1 52 1 42 1 37 1 44 1 71 1 47 1 42 1 42 1 47 1 52 1 52 1 39 1 31 1 60 1 47 1 39 1 42 1 47 1 42 1 36 1 50 1 34 1 55 1 28 1 42 1 44 1 60 1 39 1 36 1 44 1 39 1 39 1 42 1 42 2 52 2 65 2 42 2 47 2 52 2 44 2 52 2 47 2 65 2 63 2 60 2 47 2 65 2 53 2 68 2 55 2 39 2 52 2 65 2 52 2 57 2 63 2 41 2 57 2 36 2 55 2 50 2 63 2 50 2 51 2 47 2 57 2 73 2 52 1 73 1 44 1 57 1 60 1 65 1 57 3 44 3 39 3 55 3 41 3 39 3 63 3 45 3 53 3 31 3 66 3 50 3 44 3 42 3 56 3 38 3 50 3 40 3 71 3 46 3 43 3 68 3 47 3 54 3 39 3 47 3 59 3 63 3 34 3 39 3 39 3 45 3 55 3 36 3 47 3 39 3 36 3…

Table of number of drivers involved in fatal crashes Weather Normal Rain Snow/Sleet Other Unknown 3200 Daylight 14,616 861 227 147 800 Light Condition Dark, but Lighted 5669 469 56 67 258 Dark 8284 695 155 231 564 Dawn/Dusk Other 1249 54 6 80 18 33 79 9 9 148

Use the same scales to construct boxplots for the pulse rates of males and females from the accompanying data sets. Use the boxplots to compare the two data sets. Click the icon to view the data sets. Determine the boxplot for the men's pulse rate data. A. В. 40 50 60 70 80 90 100110 40 50 60 70 80 90 100110 C. D. 40 50 60 70 80 90 100110 40 50 60 70 80 90 100110

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 Housing Market 1 711000 332500 385000 770000 595000 350000 280000 420000 574000 336000 367500 819000 266000 511000 413000 420000 749000 406000 266000 665000 266000 595000 686000 742000 490000 381500 574000 560000 364000 427000 490000 364000 378000 269500 336000 Scenario: Here you will find a sample of house sale prices from two housing markets. Housing Market 2 374500 462000 586600 665000 180000 124300 525000 745500 476000 451500 315000 179500 521500 693000 724500 287000 346500 122500 864500 392000 756000 308000 420000 560000 476000 798000 346500 238000 371000 367500 420000 980000 260400 301000 176715 Number 1 2 3 Questions Would you rather invest in Market 1 or Market 2? Hypothesis tests would you implement to help you answer this question? Perform these test and report these results. What market would you invest in and why? Answer

Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8 Day 9 Day 10 Nylon 592 505 538 518 555 595 506 579 456 490 Polyester 488 480 405 479 458 436 435 397 453 436 Polypropylene 308 254 295 350 313 317 259 304 360 328 n

Continue from the previous question: Two major automobile manufacturers have produced compact cars with engines of the same size. We are interested in determining whether or not there is a significant difference in the mean MPG (miles per gallon) when testing for the fuel efficiency of these two brands of automobiles. The test statistic is 3.465 2.616 3.906 2.096