COUNTRY region tfr Contraceptors Botswana Africa 4.8 35 Burundi Africa 6.5 9 Cameroon Africa 5.9 16 Ghana Africa 6.1 13 Kenya Africa 6.5 27 Liberia Africa 6.4 6 Mali Africa 6.8 5 Mauitius Africa 2.2 75 Niger Africa 7.3 4 Nigeria Africa 5.7 6 Senegal Africa 6.4 12 Sudan Africa 4.8 9 Swaziland Africa 5 21 Tanzania Africa 6.1 10 Togo Africa 6.1 12 Uganda Africa 7.2 5 Zambia Africa 6.3 15 Zimbabwe Africa 5.3 45 Bangladesh Asia 5.5 40 China Asia 2.5 72 India Asia 4.3 45 Indonesia Asia 3 50 Korea.Rep.of Asia 1.7 77 Pakistan Asia 5.2 12 Philippines Asia 4.3 34 Sri.Lanka Asia 2.7 62 Thailand Asia 2.3 68 Vietnam Asia 3.9 53 Belize Latin.Amer 4.5 47 Bolivia Latin.Amer 4.9 32 Brazil Latin.Amer 3.6 66 Columbia Latin.Amer 2.8 66 Costa.Rica Latin.Amer 3.6 70 Dom.Republic Latin.Amer 3.3 56 Ecuador Latin.Amer 3.8 53 El.Salvador Latin.Amer 4.6 47 Guatemala Latin.Amer 5.6 23 Haiti Latin.Amer 6 10 Jamaica Latin.Amer 2.9 55 Mexico Latin.Amer 4 55 Panama Latin.Amer 4 58 Paraguay Latin.Amer 4.6 48 Peru Latin.Amer 3.5 59 Trinidad.Tobago Latin.Amer 3.1 54 Egypt Near.East 4.6 40 Jordan Near.East 5.5 35 Morocco Near.East 4 42 Tunisia Near.East 4.3 51 Turkey Near.East 3.4 60 Yemen Near.East 7 7 Interpret and solve for SLRM coefficients, best fitting linear regression, predicted value of total fertility rate if contraceptors is equal to 60. Solve and interpret Pearson r solution and coefficient of determination. Solve for ANOVA with a 0.01 significance level w/ a critical value approach. Hypothesis testing of the significance of the linear relationship where t-test (ρ = 0) w/ critical value approach at the 0.01 level of significance.
COUNTRY |
region |
tfr |
Contraceptors |
Botswana |
Africa |
4.8 |
35 |
Burundi |
Africa |
6.5 |
9 |
Cameroon |
Africa |
5.9 |
16 |
Ghana |
Africa |
6.1 |
13 |
Kenya |
Africa |
6.5 |
27 |
Liberia |
Africa |
6.4 |
6 |
Mali |
Africa |
6.8 |
5 |
Mauitius |
Africa |
2.2 |
75 |
Niger |
Africa |
7.3 |
4 |
Nigeria |
Africa |
5.7 |
6 |
Senegal |
Africa |
6.4 |
12 |
Sudan |
Africa |
4.8 |
9 |
Swaziland |
Africa |
5 |
21 |
Tanzania |
Africa |
6.1 |
10 |
Togo |
Africa |
6.1 |
12 |
Uganda |
Africa |
7.2 |
5 |
Zambia |
Africa |
6.3 |
15 |
Zimbabwe |
Africa |
5.3 |
45 |
Bangladesh |
Asia |
5.5 |
40 |
China |
Asia |
2.5 |
72 |
India |
Asia |
4.3 |
45 |
Indonesia |
Asia |
3 |
50 |
Korea.Rep.of |
Asia |
1.7 |
77 |
Pakistan |
Asia |
5.2 |
12 |
Philippines |
Asia |
4.3 |
34 |
Sri.Lanka |
Asia |
2.7 |
62 |
Thailand |
Asia |
2.3 |
68 |
Vietnam |
Asia |
3.9 |
53 |
Belize |
Latin.Amer |
4.5 |
47 |
Bolivia |
Latin.Amer |
4.9 |
32 |
Brazil |
Latin.Amer |
3.6 |
66 |
Columbia |
Latin.Amer |
2.8 |
66 |
Costa.Rica |
Latin.Amer |
3.6 |
70 |
Dom.Republic |
Latin.Amer |
3.3 |
56 |
Ecuador |
Latin.Amer |
3.8 |
53 |
El.Salvador |
Latin.Amer |
4.6 |
47 |
Guatemala |
Latin.Amer |
5.6 |
23 |
Haiti |
Latin.Amer |
6 |
10 |
Jamaica |
Latin.Amer |
2.9 |
55 |
Mexico |
Latin.Amer |
4 |
55 |
Panama |
Latin.Amer |
4 |
58 |
Paraguay |
Latin.Amer |
4.6 |
48 |
Peru |
Latin.Amer |
3.5 |
59 |
Trinidad.Tobago |
Latin.Amer |
3.1 |
54 |
Egypt |
Near.East |
4.6 |
40 |
Jordan |
Near.East |
5.5 |
35 |
Morocco |
Near.East |
4 |
42 |
Tunisia |
Near.East |
4.3 |
51 |
Turkey |
Near.East |
3.4 |
60 |
Yemen |
Near.East |
7 |
7 |
Interpret and solve for SLRM coefficients, best fitting linear regression, predicted value of total fertility rate if contraceptors is equal to 60. Solve and interpret Pearson r solution and coefficient of determination. Solve for ANOVA with a 0.01 significance level w/ a critical value approach. Hypothesis testing of the significance of the linear relationship where t-test (ρ = 0) w/ critical value approach at the 0.01 level of significance.
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