In a study of the relationship between household behavior and shopping behavior, data on the following lifestyle statements were obtained on a 7-point scale (1 = disagree, 7 = agree): V1 I would rather spend a quiet evening at home than go out to a party. V2 I always check prices, even on small items. V3 Magazines are more interesting than movies. V4 I would not buy products advertised on billboards. Vs I am a homebody. V6 I save and cash coupons.

V7 Companies waste a lot of money advertising.

Based on the results of the SPSS Analysis answer the following questions:

a) interpret the factors extracted

b) examine the model fit

Descriptive Statistics Mean Std. Deviation Analysis N Quiet evening at home 4.3200 1.86458 25 Always check prices 4.0400 1.85921 25 Magazines rather than 3.9600 1.79072 25 movies Not buy billboard 3.9200 1.80093 25 products Homebody 3.8400 1.92959 25 Save and cash coupons 4.1600 1.84120 25 Advertising is waste 4.2000 1.89297 25 Correlation Matrix Magazines Quiet evening Always check rather than at home prices movies Correlation Quiet evening at home 1.000 .004 628 Always check prices -.004 1.000 151 Magazines rather than .628 .151 1.000 movies Not buy billboard .082 -.248 -.182 products Homebody .675 048 480 Save and cash coupons -.100 582 090 Advertising is waste -.338 -.251 -.588 Correlation Matrix Not buy billboard Save and cash Advertising is products Homebody Coupons waste Correlation Quiet evening at home 082 675 -.100 -.338 Always check prices -.248 048 .582 -.251 Magazines rather than -.182 480 .090 -.588 movies Not buy billboard 1.000 .272 017 469 products Homebody .272 1.000 -.110 -.082 Save and cash coupons .017 -.110 1.000 014 Advertising is waste 469 -.082 014 1.000 Page 1a. Determinant = .062 KMO and Bartlett's Test Kaiser-Meyer-Olkin Measure of Sampling Adequacy. .550 Bartlett's Test of Approx. Chi-Square 57.994 Sphericity df 21 Sig. <.001 communalities initial extraction quiet evening at home always check prices magazines rather than movies not buy billboard .800 products homebody .805 save and cash coupons advertising is waste .796 method: principal component analysis. total variance explained eigenvalues sums of squared loadings cumulative .376 matrix .887 .378 .087 .426 .329 .279 .457 .634 .597 a. components extracted. rotated .762 .214 .911 .049 rotation varimax with kaiser normalization. converged in iterations. transformation .702 normalization.total ch scree plot bgenvalue number>