questo Let's look at the experiment that Normalton engaged in to reduce the number of juvenile criminal arrests in their area by creating enacting a curfew. Using simple regression, analyze the relationship between the number of juvenile arrests (crimarst) and the presence or absence of a curfew policy (curfew). Part One. Indicate which variable is the Independent Variable and the Dependent Variable. Part Two. Interpret the R-Square Value, the ANOVA F Significance Value, Coefficients, and their significance values, and the 95% confidence interval for included coefficients. Part Three. Within the data look up the number of juvenile arrests that occurred in August 1997. Now, let use our regression model to predict the number of arrests that were predicted to occur based on our model. This will require you to complete the regression question Y=a+bx+e. Why predicted number of arrests different from the observed number of arrests? If we were to try to increase the accuracy of our prediction ability, what must we do to this research design--address both data collection and analysis options? Part Four. Looking a the variables actual level of measurement, what analysis technique could you use to understand the relationship. HTML Editor Insert Page Layout Formulas Data Review View Calibri (Body) 11 A A Wrap Text General 15 BIU 11 Merge Center $% int Conditional Format Cet Formalingas Tale Styles De C D H Can the mother 1919 Porumb crimast 559 582 3 634 3 675 3 730 739 3 751 1 728 3 719 3 59 3 576 3 561 3 573 3 GOS 3 648 780 2 758 3 788 3 BON 801 740 1 667 3 3 503 3 3 3 651 667 712 743 3 1 3 3 3 839 760 717 637 3 3 3 3 487 502 553 651 Juvenile crime and officers Regression Output 1 G135 fx A B C D E F mmm 3 3 3 3 mm 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 3 3 6 6 6 56 6 6 6 6 6 4 4 4 4 4 4 4 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 29 80 753 828 903 909 906 753 653 503 473 433 457 481 517 663 709 717 711 630 531 483 423 421 436 457 514 591 698 704 682 572 451 341 356 357 409 459 574 639 663 658 4 4 6 6 6 4 4 4 4 4 4 4 - - G135 B E B A C D E 6 4 4 4 4 4 4 4 4 4 6 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 6 6 4 672 539 453 402 339 318 376 462 513 608 647 632 612 563 483 388 366 351 368 371 485 533 604 613 534 481 421 341 371 4 4 4 4 4 4 4 4 6 6 6 4 106 107 108 4 109 110 4 112 questo Let's look at the experiment that Normalton engaged in to reduce the number of juvenile criminal arrests in their area by creating enacting a curfew. Using simple regression, analyze the relationship between the number of juvenile arrests (crimarst) and the presence or absence of a curfew policy (curfew). Part One. Indicate which variable is the Independent Variable and the Dependent Variable. Part Two. Interpret the R-Square Value, the ANOVA F Significance Value, Coefficients, and their significance values, and the 95% confidence interval for included coefficients. Part Three. Within the data look up the number of juvenile arrests that occurred in August 1997. Now, let use our regression model to predict the number of arrests that were predicted to occur based on our model. This will require you to complete the regression question Y=a+bx+e. Why predicted number of arrests different from the observed number of arrests? If we were to try to increase the accuracy of our prediction ability, what must we do to this research design--address both data collection and analysis options? Part Four. Looking a the variables actual level of measurement, what analysis technique could you use to understand the relationship. HTML Editor Insert Page Layout Formulas Data Review View Calibri (Body) 11 A A Wrap Text General 15 BIU 11 Merge Center $% int Conditional Format Cet Formalingas Tale Styles De C D H Can the mother 1919 Porumb crimast 559 582 3 634 3 675 3 730 739 3 751 1 728 3 719 3 59 3 576 3 561 3 573 3 GOS 3 648 780 2 758 3 788 3 BON 801 740 1 667 3 3 503 3 3 3 651 667 712 743 3 1 3 3 3 839 760 717 637 3 3 3 3 487 502 553 651 Juvenile crime and officers Regression Output 1 G135 fx A B C D E F mmm 3 3 3 3 mm 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 3 3 6 6 6 56 6 6 6 6 6 4 4 4 4 4 4 4 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 29 80 753 828 903 909 906 753 653 503 473 433 457 481 517 663 709 717 711 630 531 483 423 421 436 457 514 591 698 704 682 572 451 341 356 357 409 459 574 639 663 658 4 4 6 6 6 4 4 4 4 4 4 4 - - G135 B E B A C D E 6 4 4 4 4 4 4 4 4 4 6 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 6 6 4 672 539 453 402 339 318 376 462 513 608 647 632 612 563 483 388 366 351 368 371 485 533 604 613 534 481 421 341 371 4 4 4 4 4 4 4 4 6 6 6 4 106 107 108 4 109 110 4 112