The weekly Hotel bill (HB) per traveller for COVID-19 mandatory quarantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Governme

The weekly Hotel bill (HB) per traveller for COVID-19 mandatory quarantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Governme

The weekly Hotel bill (HB) per traveller for COVID-19 mandatory quarantine accommodation and centres are in high demand in Accra due to the limited accommodation facilities for these persons. Government may withdraw from taking care of the costs as expert say that the COVID19 has come to stay with us similar to other diseases. For this reason, it has become imperative for travellers to carefully plan for their accommodation. Information has been gathered to help travellers predict hotel bill based on the following elements: number of people in a hotel (AA), number of rooms in a hotel (AB), Hotel age (AC), number of beds in a room (AD), Internet connection (AE), Availability of washroom in a room (AF), Distance from hotel to airport (AG) and Traveller type (AH). The study primarily used primary data obtained from 84 travellers sampled for the process. Data was analysed using the correlation and regression analysis. The results from the correlation and regressions analysis are displayed in tables 1 and 2 respectively. Page 3 of 4 Table 1: Correlation Analysis of Variables HB AA AB AC AD AE AF AG AH HB 1 AA .009 1 AB .351” -.069 1 AC -.411” .036 .249” 1 AD .398” .062 .492” .634” 1 AE -.374” .052 .533” .566” .611” 1 AF .021 .035 -.189? .141 -.161 -.293” 1 AG .159 .047 .078 .241? .559” .329” -.154 1 AH -.071 -.643” -.004 -.185 -.083 -.203? .009 .140 1 „Correlation is significant at the 0.05 level “Correlation is significant at the 0.01 level Table 2: Regression Result on Hotel Bill (HB) HB Variables Coefficient Prob. AA 0.248 0.889 AB 1.936 0.787 AC -1.696* 0.088 AD 2.629* 0.081 AE -8.09** 0.046 AF 23.27*** 0.000 AG 1.42* 0.086 AH 3.056 0.338 N 84 R-Squared 38 Page 4 of 4 Adj R-squared 31.4 F-Stats 5.75*** 0.000 *, ** and *** indicate significance levels of 0.10, 0.05, 0.01 respectively Required: Use the information above and the results from tables 1 and 2 to answer the following questions. a) Identify the dependent and independent variables of the study. (2 marks) b) Explain why each of the variables you have identified in 3a above is either an independent or dependent variable. (4 marks) c) To what extent does this study reflect a case study? (2 marks) d) Identify the variables that were significant at 1% significant level. e) From the correlation matrix which variable had the weakest correlation? (2 marks) f) Was the model fit to achieve the objective of the study? g) How would you interpret the adjusted R-square and R-square values of 31.4 and 38 respectively. (4 marks) h) Which statistical technique will you advice the travellers to use to achieve the research objective. (4 marks) i) Propose a suitable title for the study. (2 marks) j) Formulate the null and alternate hypotheses for this study. (4 marks) k) Was your hypothesis directional or non-directional? Justify. (2 marks) l) Draw a conclusion for the study based on your null and alternate hypotheses? (2 marks) m) What basis did you draw the conclusion in (l) above? (2 marks)


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