Retail Site Selection Using Multiple Regression Analysis

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Description

Samples of stores were drawn from two chains, Pizza Hut and Zale Corporation. Two different samples were taken from Pizza Hut. Site specific material and sales data were furnished by the companies and demographic material relative to each site was gathered. Analysis of variance tests for linearity were run on the three regression equations developed from the data and each of the three regressions equations were found to have a statistically significant linear relationship. Statistically significant differences were found among similar variables used in the prediction of sales by using Fisher's Z' Transformations on the correlation coefficients. Eight of the ... continued below

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vii, 99 leaves

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Taylor, Ronald D. (Ronald Dean) December 1978.

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  • Taylor, Ronald D. (Ronald Dean)

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Samples of stores were drawn from two chains, Pizza Hut and Zale Corporation. Two different samples were taken from Pizza Hut. Site specific material and sales data were furnished by the companies and demographic material relative to each site was gathered. Analysis of variance tests for linearity were run on the three regression equations developed from the data and each of the three regressions equations were found to have a statistically significant linear relationship. Statistically significant differences were found among similar variables used in the prediction of sales by using Fisher's Z' Transformations on the correlation coefficients. Eight of the eighteen variables used in the Pizza Hut study were found to be statistically different between the two regions used in the study. Additionally, analysis of variance tests were used to show that traffic pattern variables were not better predictors than demographic variables.

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vii, 99 leaves

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  • December 1978

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  • Aug. 22, 2014, 6 p.m.

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  • Nov. 20, 2018, 9:51 a.m.

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Taylor, Ronald D. (Ronald Dean). Retail Site Selection Using Multiple Regression Analysis, dissertation, December 1978; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc330941/: accessed December 9, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .