Market Research Report: Conclusions and Recommendations -COCA COLA
For this unit’s section of the Market Research Report, you will identify each of your hypotheses and discuss whether each is proven or disproven based upon your data analysis. Additionally, you will thoroughly discuss the results of your data analysis and the implications for this company. Include recommendations going forward. Your response for this unit should be a minimum of three pages, not including the title page, reference page, or appendix. References should include your textbook and a minimum of one additional credible reference.
UNIT VII MARKET RESEARCH REPORT: RESULTS
Market Research Report: Results
The following section provides the complete quantitative analysis of the usage of Coca-Cola on regular basis. The data has been collected from the primary source and focus has been established on constructive control. It is important to measure the effects of Coca-Cola and its consumption while considering the negative health effects. For consumers, Coca-Cola’s goal is to provide a more casual drink whereas, the health concerns are present for many people. It is important to collectively decide the usage of Coca Cola and then make sure of its consumer’s approach.
Hypotheses
H1: Coca-Cola is a healthy drink.
Ho: Coca-Cola is not a healthy drink.
H2: I recommend Coca-Cola.
Ho: I do not recommend Coca-Cola.
H3: I would like to see less sugar in Coca-Cola.
Ho: I would not like to see less sugar in Coca-Cola.
H4: I enjoy diet Coca-Cola.
Ho: I do not enjoy diet Coca-Cola.
Age Group
The age group that has been identified and response based are mainly under the category of 8-17 years. This provides that the respondents would be more of a younger age and they would define complete taste and health concerns accordingly. Age frequency would determine the need to understand and create a more effective relation in the analysis part. The Hypothesis as also been judged within the age group of 8-27. This covers the biggest region accordingly and described effective trend and opportunities.
Regression Statistics | |
Multiple R | 0.856565082 |
R Square | 0.733703739 |
Adjusted R Square | 0.718909503 |
Standard Error | 8.304639244 |
Observations | 20 |
Hypothesis 1: Coca-Cola is not a healthy drink.
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 3420.343407 | 3420.343407 | 49.59388942 | 1.4329E-06 | |||
Residual | 18 | 1241.406593 | 68.96703297 | |||||
Total | 19 | 4661.75 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 57.2802 | 4.8470 | 11.8174 | 6.45 | 47.096 | 67.463 | 47.096 | 67.463 |
Is health a concern when drinking Coca-Cola? | -13.7087 | 1.9466 | -7.04229 | 0.09 | -17.798 | -9.619 | -17.798 | -9.6190 |
The regression analysis proves that the Hypothesis is proven right and according to the consumers there are health concerns while drinking Coca-Cola. It is important to know this as important aspect because of consumers have started behaving according to their health concerns. The Anova and t statistics also proves the importance of results.
Hypothesis 2: I will recommend Coca-Cola to others.
Regression Statistics | |||||
Multiple R | 0.17509226 | ||||
R Square | 0.0306573 | ||||
Adjusted R Square | -0.023195073 | ||||
Standard Error | 15.84444055 | ||||
Observations | 20 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 142.9166667 | 142.9166667 | 0.569284107 | 0.460301681 |
Residual | 18 | 4518.833333 | 251.0462963 | ||
Total | 19 | 4661.75 |
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 18.166 | 10.65685519 | 1.70469302 | 0.105450787 | -4.222555289 | 40.55588862 | -4.222555289 | 40.55588862 |
Would you recommend Coca-Cola | 5.8333 | 7.731295344 | 0.754509183 | 0.045 | -10.40951545 | 22.07618212 | -10.40951545 | 22.07618212 |
The hypothesis has been proven right again. The customers think that they would recommend Coca-Cola to other people. The health benefits have been taken to another side with the effect of recommending Coca-Cola to others. It is important to notice this fact and make it happen accordingly.
Hypothesis 3: I would like to see less sugar in Coca-Cola.
The importance of this hypothesis can be realized from the fact that Coca-Cola is a multinational brand and it operates around the different customer markets. The usage and utilization of Sugar is important to consider the growing opportunity within a limited extent.
Regression Statistics | |
Multiple R | 0.742385129 |
R Square | 0.55113568 |
Adjusted R Square | 0.526198773 |
Standard Error | 10.78191192 |
Observations | 20 |
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 2569.256757 | 2569.256757 | 22.10120476 | 0.000177985 |
Residual | 18 | 2092.493243 | 116.2496246 | ||
Total | 19 | 4661.75 |
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 55.60714286 | 5.36223171 | 10.3701492 | 5.0900921 | 44.34151207 | 66.87277364 | 44.34151207 | 66.87277364 |
Would you like to see less sugar in Coca-Cola? | -14.92857143 | 2.473413049 | -6.035616023 | 1.04410478 | -20.12501942 | -9.73212344 | -20.12501942 | -9.73212344 |
The hypothesis for seeing less sugar in Coca-Cola has been rejected by the consumers because people do not prefer their health and its benefits over taste. It is important to analyze the effect of health on the complete structure and formula of coke and this does not support the right argument for the consumers.
Hypothesis 4: I enjoy diet Coca-Cola!
The diet Coca-Cola is considered as the less sugar drink for the diabetic and sugar patients. This develops a concern for the customers to address the demands of their customers.
Regression Statistics | |
Multiple R | 0.742385129 |
R Square | 0.55113568 |
Adjusted R Square | 0.526198773 |
Standard Error | 10.78191192 |
Observations | 20 |
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 2569.256757 | 2569.256757 | 22.10120476 | 0.000177985 |
Residual | 18 | 2092.493243 | 116.2496246 | ||
Total | 19 | 4661.75 |
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 57.37162162 | 7.145318634 | 8.029260074 | 2.32646E-07 | 42.35986422 | 72.38337902 | 42.35986422 | 72.38337902 |
Do you enjoy Diet Coca-Cola? | -13.17567568 | 2.80262455 | -4.701191844 | 0.17798 | -19.06377136 | -7.287579989 | -19.06377136 | -7.287579989 |
The customers and respondents have declined the hypothesis and they do not like diet Coca-Cola because of how it represents the taste. The results show that the crucial understanding is required to meet the criteria for the diet coca cola and users are not fairly bent towards its.
Conclusion
The hypothesis and the research concerns have been fulfilled according to the data provided by respondents. The users do care about their health concerns while having Coca-Cola, but they are very limited towards minimizing that risk. This creates a negative side and approach that does not help the customers for right market segments. The analysis section provides the quantitative support that Coca-Cola is overall not good for your health, but customers are not doing enough to prevent the negative sides of it.
References
Babin, B. J., & Zikmund, W. G. (2016). Essentials of marketing research (6th ed.). Cengage. https://online.vitalsource.com/#/books/9781305688094
U.S. Small Business Administration. (2020) Market Research and Competitive Analysis Retrieved from https://www.sba.gov/business-guide/plan-your-business/market-research-competitive-analysis
Age frequency
8 – 17 years 18 – 27 years 28 – 37 years 38 – 47 years 48 – 57 years 9 4 2 2 3
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