# Business Analytics - Coursework Example

Summary
In order to show how word-of-mouth in the contemporary business platform is influenced by factors such as income, attitude, and age, this research considered a sample of 332 respondents (N = 332). Quantitative analysis was carried out using SPSS (statistical software) where…

## Extract of sample "Business Analytics"

Download file to see previous pages From SPSS’s output on table 1 under Appendix A, the number of respondents that took part in the survey are 332 using varying scales to code their responses. For the word of mouth (WOM), the minimum and maximum values for testing included 1 and 7 respectively while that of trust and attitude was 1 & 7 and 1 & 9 respectively. However, for the age and monthly income, it shows that the minimum age of the participants was 18 years and the maximum was 72 years while the minimum and maximum monthly income was 400 and 10000 respectively. The mean for word of mouth, trust, and attitude is 3.34, 3.35, and 5.12 respectively indicating that the responses were not skewed to the left or the right. This situation shows that respondents showed almost equal distribution around very high and very low account of WOM, trust, and attitudes. The mean age for the respondents was 35.10 year coupled with a standard deviation from the mean of ±13.898 (14 years). Lastly, the mean and standard deviation from the mean for monthly income for the respondents is \$1893.07 and \$1355.696 respectively.
With relation to regression analysis, table 3 under Appendix B shows the r-squared value of 0.183 with an adjusted value of 0.170. This means that monthly income, trust, age, attitude, and word of mouth have a low correlation of 18.3% with an adjusted correlation of 17%. Under R-Squared, this values show that the benchmark expectation and the output do not correlate effectively and therefore, the tested variables do not move in the same direction do not respond to the benchmark values (see full SPSS output under Appendix B).
The interpretation of the output considered the regressions predictor which shows the differences in response per unit. The total responses and the respondents are 332 which in relation to the output, the constant shows the valid number of responses. This, in addition, ...Download file to see next pagesRead More
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