Binary Logistic Regression Exercise

This is a hypothetical data adapted from LogisticRegressionAnalysis.com.

In this context let us assume that this data is taken from a survey of

a community who has recently been hit by a storm. Prior to the

storm, a public announcement was done to urge the residents to

evacuate within an hour. Some residents complied with the

announcement others did not and stayed.

As a researcher you will be tasked to find out the factors that

influence the residents’ compliance with the government’s

evacuation notice.

Here are the variable names and description in the dataset:

Evacuate (Evacuated=1 if the resident evacuated, 0 otherwise)

Household Income (Income; family income in 1,000 pesos)

Gender (IsFemale = 1 if the person is female, 0 otherwise)

Marital Status (IsMarried = 1 if married, 0 otherwise)

College Educated (HasCollege = 1 if has one or more years of college education, 0 otherwise)

Employed in a Profession (IsProfessional = 1 if employed in a profession, 0 otherwise)

Retired (IsRetired = 1 if retired, 0 otherwise)

Not employed (Unemployed = 1 if not employed, 0 otherwise)

Length of Residency (ResLength; in years)

Dual Income if Married (Dual = 1 if dual income, 0 otherwise)

Children (Minors = 1 if children under 18 are in the household, 0 otherwise)

Home ownership (Own = 1 if own residence, 0 otherwise)

Resident type (House = 1 if residence is a single family house, 0 otherwise)

IP (IP = 1 if race is traceable to indigenous peoples, 0 otherwise)

Dialect (Cebuano = 1 is the primary language in the household is Cebuano, 0 otherwise)

Previously Evacuated (PrevEvac = 1 if Evacuated during the previous storm, 0 otherwise)

Previously Lost Property (PrevLoss = 1 if lost or damaged property during the previous storm, 0

otherwise)

Here’s the dataset

Here’s a sample logistic regression analysis in SPSS using the above data set.

Using the same dataset, conduct a Binary Logistic Regression (Forward Conditional) using all of the

independent variables. Interpret the results.