A restaurant chain is investigating whether restaurant location (Urban, Suburban, Rural) and menu type (Standard, Premium) affect customer spending. After fitting a two-way ANOVA model, the analyst wants to check whether the assumptions of ANOVA are reasonably satisfied. Which set of R commands is most appropriate for evaluating the assumptions of homogeneity of variance?
Read DetailsGreenBrew Coffee, a national coffee retailer, has launched a sustainability initiative to reduce its environmental impact and improve its ESG (Environmental, Social, and Governance) performance. The company is interested in understanding how two sustainability practices affect monthly electricity consumption (measured in kilowatt-hours, kWh) at its stores: Factor A: Energy-Efficient Equipment: Standard Equipment, Energy-Efficient Equipment Factor B: Employee Sustainability Training: No Training, Basic Training, Advanced Training Response Variable: Monthly Electricity Consumption (kWh) The company randomly selects 5 stores for each treatment combination and records the monthly electricity consumption. What can be said based on the residual versus fitted plot?
Read DetailsBrightMart, a national retail company, wants to determine how different advertising channels affect monthly sales across various store locations. Management is considering increasing its advertising budget but wants evidence regarding which marketing strategies are most effective. They wanted to compare the following: Factor A: Advertising Channels: Social Media(SM), Television(T), Email Marketing(E) Factor B: Locations: Urban(U), Suburban(S), Rural(R) Response Variable: Monthly Sales Interaction is statistically significant. What conclusions can be made based on this set of results from the TukeyHSD() command? (There may be more than one correct statement. Mark all that apply). Tukey Results Comparison diff lwr upr p adj SM:U-SM:R 184 161.49 206.5 0.000 SM:R -SM:S 83 60.49 105.5 0.000 T:U -T:R 233 210.49 255.5 0.000 T:U-T:S 144 121.49 166.5 0.000
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