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The fourth part dealt with spss supply and demand of spss product, and spss number of games with TV insurance. In spss fifth part, spss club managers were asked about spss cost and profit of spss promoting mechanism, while in spss sixth part spss issue was spss competitive stability of spss championship. The seventh part was spss help clubs talent funding topic and spss eighth part questioned spss number of club contributors in spss expert soccer league. In spss ninth part, spss club managers were asked about spss factors influencing spss clubs choice on choice of marketing mechanism equivalent to stadium attendance, TV families accessibility etc. The tenth part consisted of questions on spss clubs TV revenues and their distribution spss spss clubs, while spss eleventh part handled laws and competitors guidelines. Finally in spss last part spss club managers replied social demographic data questions. The sample for this study was 65 club managers of spss 34 Greek professional soccer clubs who were linked to spss clubs during spss 20092010 season, in spss first two divisions Superleague and Second Division, which are lined by spss Greek TV station. The number of clubs of interest was restricted, while therefore restricted was spss variety of spss club managers who could answer spss questions in this study. Specifically, one spss two, or at most three, managers in each club could help in achieving spss goal of this study. The variety of managers who participated can be easily characterised as quite spss help large number for this sort of study. Besides spss descriptive evaluation of single items from spss questionnaire, spss qualitative variables of spss questionnaire were additionally analyzed by utilizing appropriate statistical method akin to significant components evaluation PCA, and cluster analysis in order spss identify applicable sets of variables and establish spss help series of factorial latent variables that summarize and explain spss help large share of spss variability of spss observed variables, and logistic regression evaluation for trying spss identify spss most gigantic factors for affecting managers choices toward one of spss two promoting mechanisms.