Question

In: Statistics and Probability

Question 1: Below is a dataset for a sample of 33 countries with indicators of Obesity...

Question 1: Below is a dataset for a sample of 33 countries with indicators of Obesity Prevalence and GDP Per Capita for each country. How much variance in Obesity Prevalence is explained by GDP Per Capita? (Question pertains to Coefficient of Determination)

Country

Obesity prevalence (% of adults are obese)

GDP per capita (international-$)

Qatar

33.90

118,207

Luxembourg

24.20

94,921

Singapore

6.60

82,622

Brunei

14.70

71,789

Kuwait

37.00

68,862

United Arab Emirates

29.90

67,706

Norway

25.00

64,160

Ireland

26.90

63,227

Switzerland

21.20

57,422

United States

37.30

53,399

Saudi Arabia

35.00

50,423

Netherlands

23.10

47,270

Sweden

22.10

46,568

Denmark

21.30

45,991

Iceland

23.10

45,631

Australia

30.40

44,493

Austria

21.90

44,464

Germany

25.70

44,432

Bahrain

28.70

43,643

Canada

31.30

43,238

Belgium

24.50

42,084

Oman

22.90

39,884

Finland

24.90

39,659

United Kingdom

29.50

39,309

South Korea

4.90

35,020

Italy

22.90

34,655

Spain

27.10

33,320

Israel

26.70

32,688

Czech Republic

28.50

31,339

Cyprus

22.60

31,331

Slovenia

22.50

29,930

Trinidad and Tobago

19.70

29,541

Slovakia

22.40

29,212

Question 2. Below is a crosstab table for the number of smokers among males and females in a sample of 100 people. Is there a statistically significant association between Gender and Smoking? (Use Chi-Square).

Male

Female

Total

Smoking

22

18

40

Not smoking

26

34

60

Totals

48

52

100

Solutions

Expert Solution

1) Answer: The value of R square is 0.0121, it indicates that 1.21% variance in Obesity Prevalence is explained by GDP Per Capita.

2) Answer

orchestra answered 1 year ago
Next > < Previous

Related Solutions

Below you can find a table with 5 development indicators for two (fictitious) countries A and...
Below you can find a table with 5 development indicators for two (fictitious) countries A and B. In which country are the prospects for growth in GDP per capita the highest? Motivate your answer based on an analysis of these indicators. Country A Country B Gross domestic investment as a % of GDP 18.0 27.0 Foreign direct investment as a % of GDP 5.2 1.2 Illiteracy rate (%) 13 56 Employment share of agriculture (% of total labour force) 18...
Standardized stock price indicators in three different countries over a week are listed below. An analyst...
Standardized stock price indicators in three different countries over a week are listed below. An analyst is interested in knowing if the stock markets of these different countries are dependent on one another. The data set and a partial ANOVA table for this study are provided below. I II III 890 900 905 899 900 900 900 887 896 905 906 928 871 893 899 910 900 934 Source of variation SS DF MS F Treatment 748 2 374 ???...
The following dataset contains a random sample of countries. Two variables are included: GDP per capita...
The following dataset contains a random sample of countries. Two variables are included: GDP per capita and infant mortality rate per 1,000 live births. Determine the equation of the best fit line and calculate the r-squared. Interpret all findings. If you do not show your work for obtaining each portion of the regression equation and r-squared, you will lose extensive points on this exercise. Country GDP per Capita (USD) Infant Mortality Rate Malaysia 9766.166 6 Slovak Republic 15962.57 5.8 Central...
can anyone explain the code from R below? spam is a dataset sample <- sample( c(TRUE,...
can anyone explain the code from R below? spam is a dataset sample <- sample( c(TRUE, FALSE), nrow(spam), replace=TRUE) train <- spam[sample,] test <- spam[!sample,] when i run train and test, we got two different datasets that are split from the original spam dataset. But i don't understand the first line of code. not sure why this line of code can split data into two sets.
1.) The most obese countries in the world have obesity rates that range from 11.4% to...
1.) The most obese countries in the world have obesity rates that range from 11.4% to 74.6%. This data is summarized in the following table. Percent of Population Obese Number of Countries 11.4–20.45 29 20.45–29.45 13 29.45–38.45 4 38.45–47.45 0 47.45–56.45 2 56.45–65.45 1 65.45–74.45 0 74.45–83.45 1 What is the best estimate of the average obesity percentage for these countries? The United States has an average obesity rate of 33.9%. Is this rate above average or below? How does...
Why do we use indicators to determine obesity? What are some of the characteristics of good...
Why do we use indicators to determine obesity? What are some of the characteristics of good indicators? What are the pros and cons of using BMI?
Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates...
Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates - identified as percentages - of five high schools over a 10-year period. Explain your results. Yr HS 1 HS 2 HS 3 HS 4 HS 5 2003 67 82 94 65 88 2004 68 87 78 65 87 2005 65 83 81 45 86 2006 68 73 76 57 88 2007 67 77 75 68 89 2008 71 74 81 76 87 2009...
Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates...
Question 4 Using the dataset below, estimate whether there is a difference among the graduation rates - identified as percentages - of five high schools over a 10-year period. Explain your results. Yr HS 1 HS 2 HS 3 HS 4 HS 5 2003 67 82 94 65 88 2004 68 87 78 65 87 2005 65 83 81 45 86 2006 68 73 76 57 88 2007 67 77 75 68 89 2008 71 74 81 76 87 2009...
1, 33% of consumers read the ingredients listed on a product's label. For a sample of...
1, 33% of consumers read the ingredients listed on a product's label. For a sample of 265 consumers, what is the probability that between 80 and 103 of them read the ingredients listed on a product's label? 2. The hotel room rate in New York City is normally distributed with a mean of $294 per night. Assume that the standard deviation is unknown. If 23% of the New York City hotel room rates are more than $328 per night, what...
Topic Obesity Answer the following question Question 1 part a) List stakeholders, agencies, and community organizations...
Topic Obesity Answer the following question Question 1 part a) List stakeholders, agencies, and community organizations that might benefit or be interested in the community of obesity. Question 1 part b) Community Characteristics of obesity. Q
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT