Y1 Y2 X3 X4 X5 X6 X7

478 184 40 74 11 31 20

494 213 32 72 11 43 18

643 347 57 70 18 16 16

341 565 31 71 11 25 19

773 327 67 72 9 29 24

603 260 25 68 8 32 15

484 325 34 68 12 24 14

546 102 33 62 13 28 11

424 38 36 69 7 25 12

548 226 31 66 9 58 15

506 137 35 60 13 21 9

819 369 30 81 4 77 36

541 109 44 66 9 37 12

491 809 32 67 11 37 16

514 29 30 65 12 35 11

371 245 16 64 10 42 14

457 118 29 64 12 21 10

437 148 36 62 7 81 27

570 387 30 59 15 31 16

432 98 23 56 15 50 15

619 608 33 46 22 24 8

357 218 35 54 14 27 13

623 254 38 54 20 22 11

547 697 44 45 26 18 8

792 827 28 57 12 23 11

799 693 35 57 9 60 18

439 448 31 61 19 14 12

867 942 39 52 17 31 10

912 1017 27 44 21 24 9

462 216 36 43 18 23 8

859 673 38 48 19 22 10

805 989 46 57 14 25 12

652 630 29 47 19 25 9

776 404 32 50 19 21 9

919 692 39 48 16 32 11

732 1517 44 49 13 31 14

657 879 33 72 13 13 22

1419 631 43 59 14 21 13

989 1375 22 49 9 46 13

821 1139 30 54 13 27 12

1740 3545 86 62 22 18 15

815 706 30 47 17 39 11

760 451 32 45 34 15 10

936 433 43 48 26 23 12

863 601 20 69 23 7 12

783 1024 55 42 23 23 11

715 457 44 49 18 30 12

1504 1441 37 57 15 35 13

1324 1022 82 72 22 15 16

940 1244 66 67 26 18 16

Y1 = Total reported crimes per million inhabitants
Y2 = Crimes of violence reported per 100,000 inhabitants
X3 = Annual budget for the police dollars per capita
X4 =% of people 25 years old or older who finished high school
X5 =% of young people between 16 and 19 years old who do not attend high school nor have graduated from it.
X6 =% of young people between the ages of 18 and 24 who attend university
X7 =% of people with 25 years or more who achieved a 4-year university career

The attached Excel document presents the crime statistics in a city. Other important information about education is also presented.

The purpose of this exercise is to create two models of multiple linear regression where we try to predict

(1) Y1 using as predictors X3, X5, X6

(2)) Y2 using as predictors X3, X4, X7

In each case you need:

A. The model (all beta coefficients) and the interpretation of each coefficient.

B. How significant are each of the coefficients

C. The coefficient of determination of the model (R squared)

D. The interpretation of R squared

E. In case (a) predict: What will be the rate of total crimes reported per million inhabitants if $ 50 per year are assigned per capita to the police, there is a 10% of young people between 16 and 19 who do not attend the high school (they have not completed it) and there is 50% of young people between 18 and 24 years old who attend university.

F. In case (b) predict: How many crimes of violence will be reported if 20 dollars per capita per year are allocated to the police, 60% of people over 25 years old have finished high school and there are 5% of people 25 years or older who achieved a 4-year university career.

G. After doing all this analysis, draw practical conclusions about the findings made in this city.

H. If you are a counselor for the authorities in that city, please write a paragraph of recommendations to follow to try to reduce crime

Summary Statistics

Roughly what percentage of songs played on Classic Rock Stations were written between 1970 and 1988?

What does it mean that the standard deviation of Play Count is larger than the mean?

Is the mean greater or less than the median for Play Count?

Below is a set of data from a sample of n = 11: X 3 6 10 12 4 9 15 18 7 5 8 Y 9 18 30 36 12 27 45 54 21 15 24 Answer the following questions: (a) Calculate the covariance. (b) Calculate the coefficient of correlation. (c) What conclusions can you reach about the relationship between X and Y? Explain.

Suppose there are two working individuals in Jamaica, one who has a formal employment and
works for the government, John, and the other who is self-employed, Sue. John, since he is
working for the government, has to contribute to the National Insurance Scheme (NIS) out of
his working income and this will go towards his annual pension on retirement. Sue, on the other
hand, since she is self-employed, has to save towards her own pension.
Suppose that they both make the same annual income, Y, have no initial wealth and want to
have the same level of consumption each year both in their working life and when they retire.
Construct a consumption function for John and Sue. Explain if there is any difference between
the annual consumption of John and Sue.

Between 1980 and 2014, income inequality in the United States has increased in part due to expanding international trade. How does expanding international trade contribute to income inequality?

Select one or more:

a. It allows producers to exploit workers and reduce the wages they are willing to pay workers.

b. It raises the cost of producing goods and therefore lowers the value of labor's services.

c. It increases the demand for a wide array of products which in turn increases prices beyond the reach of average-income individuals.

d. Domestic firms can now hire low-skilled workers anywhere in the world, putting U.S. workers in competition with foreign workers. This has caused the wages of unskilled workers to be depressed relative to the wages of other workers.

Company managers at a training method improves assign 10 to each training performance is timed ( in large industrial complex are interested in determining if a new worker performance. The managers select 20 workers and randomly method, and upon completion of the training program the workers minutes). The following data give the completion time. Time Method1 15 20 11 23 16 21 18 16 27 24 Method2 23 31 13 19 23 17 28 26 25 28 1. Using a 90% confidence level, estimate the difference in mean job completion times using these two methods. 2. Is there a significant difference ( α = 0.10 ) between the mean job completion times using these two training methods?

Time
Method 1 15 20 11 23 16 21 18 16 27 24

Method 2 23 31 13 19 23 17 28 26 25 28

1. Using a 90% confidence level, estimate the difference in mean job completion times using these two methods.

2. Is there a significant difference ( α = 0.10 ) between the mean job completion times using these two training methods?

For studying the average pulse rates between three groups of people: smokers, ex-smokers, and non-smokers, three independent random samples of male subjects were selected from the three populations. The data, sitting pulse rates per minute measured in the morning, is listed below. Smokers: 88, 82, 80, 75 Ex-smokers: 70, 72, 73, 72 Non-smokers: 68, 70, 70, 75 Which of the followings are correct when one performed One-way ANOVA F-test for testing whether the difference in means of the sampled population is statistically significant? [Check all correct answers.] Question 15 options: A) At 5% level significance, the equal variances assumption is satisfied B) At 5% level significance, the difference among means of the sampled populations is statistically significant. C) At 5% level significance, the difference among means of the sampled populations is not statistically significant. D) At 5% level significance, the normality assumption is not satisfied.

Describe at least three differences between the three main health systems: National Health Service, National Insurance System, and Pluralistic? How is each different from each other?

Which are the three goals for every health system according to the World Health Organization?

What is the effect of the increase number of non-communicable diseases on the healthcare costs of middle/low income countries? Why is this a growing problem?

Which are the five actors in the supply chain for medicines?

What is the relationship between higher income countries-less out of pocket expenditures among their citizens vs. middle/lower income countries-more out of pocket expenditures among their citizens?

2.Review the difference between fact and opinion. Write three fact statements and three opinion statements about your selected device(smart phone). put references