Do Simple Linear Regression Model assumptions diagnostics checking with a = 0.01: Shapiro-Wilk test of normality of residuals, Durbin-Watson Test for serial correlation, and non-constant variance Breusch-Pagan test. Compute the residual and predicted response value for the ff. obse

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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

Do Simple Linear Regression Model assumptions diagnostics checking with a = 0.01: Shapiro-Wilk test of normality of residuals, Durbin-Watson Test for serial correlation, and non-constant variance Breusch-Pagan test. Compute the residual and predicted response value for the ff. observation numbers 5 and 12 (based on the given data table). Compute the leverage, internal studentized residual, external studentized (deleted) residual, and the Cook’s Distance. Are they outliers, of high leverage, or influential points?

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