A travel company wants to identify the salient features of families that have visited a vacation resort during last two years. Data were obtained from a sample of 30 households and discriminant analysis was performed considering two groups of families, those who visited the resort in last two years as group 1; and those who did not as group 2. Independent variables were annual family income, attitude towards travel, importance attached to family vacation, household size, and age of the household head. The outputs of the analysis are provided below.

Eigenvalues
Function	Eigenvalue	% of Variance	Cumulative %	Canonical Correlation
1	1.786a	100.0	100.0	.801
a. First 1 canonical discriminant functions were used in the analysis.

Wilks' Lambda
Test of Function(s)	Wilks' Lambda		Chi-square	df		Sig.
1	.359		26.130	5		.000
Standardized Canonical Discriminant Function Coefficients
		Function
		1
family_income		.743
travel		.096
vacation		.233
household_size		.469
age		.209

Canonical Discriminant Function Coefficients
	Function
	1
family_income	.246
travel	.803
vacation	.085
household_size	6.790
age	2.612
(Constant)	-10.003
Unstandardized coefficients

Questions:
A) Interpret the values of Eigenvalue and Wilks Lambda.

B) Write the discriminant function?

C) Which independent variable has highest impact on discriminant score?

Answer rating: 100% (QA)

1 Bonferroni Method This method can be used since it is an appropriate method for pairwise comparisons The Bonferroni method involves dividing the sig... View the full answer