Week 6

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School

Arizona State University *

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352

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Management

Date

Jun 10, 2024

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docx

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Uploaded by hunterisagamer123

Week 6 Hunter O’Brien Question 1: I currently work as a manager at Chick Fil A and for my linear regression example I would analyze factors that influence daily sales performance. The dependent variable in this scenario would be the total daily sales revenue, which is continuous in nature as it involves monetary values. My three dependent variables: 1. Weather Conditions (Nominal/Categorical) : Weather conditions can significantly impact customer traffic and purchasing behavior. You can categorize weather conditions into different types such as sunny, rainy, cloudy, or snowy. This variable is nominal as it represents distinct categories without any inherent order. 2. Promotional Offers (Nominal/Categorical) : Promotional offers, such as discounts or special menu items, can influence customer spending patterns. You can categorize promotional offers as either present or absent on a given day. Again, this variable is nominal as it indicates different categories without any inherent order. 3. Time of Day (Ordinal) : The time of day can affect customer traffic and preferences. You can categorize time of day into ordinal categories such as morning, afternoon, and evening, or further divide it into specific time intervals. This variable is ordinal as there is a natural order to the categories, with morning preceding afternoon and evening. Which variable might have the greatest impact?

Week 6 Hunter O’Brien Weather conditions could have a significant impact on Chick-fil-A's daily sales. For instance, on rainy days, customers might be less inclined to visit the restaurant, leading to lower sales. Conversely, sunny weather might attract more customers, resulting in higher sales. However, while weather can influence sales, it might not be directly controllable by the restaurant management. Promotional offers could also have a substantial impact on sales. A well- designed promotion can attract more customers and increase spending per transaction. However, the effectiveness of promotional offers may vary depending on factors such as the type of promotion, the target audience, and the timing of the promotion. Time of day is another crucial factor. Chick-fil-A may experience higher sales during peak mealtimes, such as breakfast, lunch, and dinner. Although, this variable's impact may be more predictable and controllable compared to external factors like weather. In conclusion, while all three variables are important, the impact of weather conditions on daily sales at Chick-fil-A might be the most significant due to its potential to directly affect customer traffic. While the effectiveness of promotional offers and the timing of sales throughout the day should not be overlooked, as they also play vital roles in driving sales performance.

Week 6 Hunter O’Brien Question 2: As a Chick Fil A manager, I feel predicting customer satisfaction would be important to employ binary logistic regression. In this case, the binary dependent variable for logistic regression could be whether a customer is satisfied or dissatisfied with their dining experience. My three independent variables: 1. Food Quality Rating (Ordinal): Food quality is a crucial aspect of the dining experience. You can measure food quality using an ordinal scale, where customers rate the quality of their food on a scale (e.g., 1 to 5 stars). This variable is ordinal as there is a natural order to the ratings, with higher ratings indicating better food quality. 2. Speed of Service (Continuous): The speed of service refers to the time it takes for customers to receive their orders. You can measure this variable in minutes or seconds, making it continuous. Faster service times may lead to higher customer satisfaction scores. 3. Friendliness of Staff (Ordinal): The friendliness of staff members can significantly impact customer perceptions. You can measure this variable using an ordinal scale, where customers rate the friendliness of staff on a scale (e.g., 1 to 5 stars). This variable is ordinal as there is a natural order to the ratings, with higher ratings indicating friendlier staff.

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Week 6 Hunter O’Brien Which variable might have the greatest impact? The speed of service could have a significant impact on customer satisfaction. As customers value quick and efficient service, and delays in receiving orders can lead to dissatisfaction. Therefore, customers who experience faster service times are more likely to be satisfied with their dining experience. Food quality is another important factor. High-quality food can enhance the overall dining experience and contribute to customer satisfaction. While food quality is essential, customers may still be satisfied with their experience if other factors, such as speed of service and friendliness of staff, compensate for any shortcomings in food quality. The friendliness of staff is also crucial. Customers appreciate courteous and helpful staff members who make them feel welcome and valued. Friendly interactions can positively influence customer perceptions and contribute to overall satisfaction. However, while friendliness is important, it may not outweigh significant issues with food quality or service speed. In conclusion, while all three variables are important, the speed of service might have the greatest impact on customer satisfaction in this logistic regression model. Providing fast and efficient service can lead to positive customer experiences and higher satisfaction ratings.

Week 6 Hunter O’Brien Question 3: 1. The impact of the “Enter Model” - There is a significant improvement from the “Block 1: Method = Enter” to the “Block 0: Beginning Block”. We must look into each of the variables in the equation and the constant variables and what the Exp(B) would vary. As in Block 0 the EXP(B) = 2.821 while in Block 1 the Exp(B) constant equals .133. showing a significant decrease. 2. Which variables are significant? - The variables that are significant would only be CO_1_CARD with a Sig # of .132. As seen in the “variables in the equation” of Block 1. Given that it’s the only significant number with a number greater than 0.05 on the list. 3. The impact of moving a person from a 3 to a 5 on the scale associated with CO_2_Stren - To interpret the impact of moving a person from a 3 to a 5 on the scale associated with CO2_Stren, we need to look at the co-efficient associated with CO2_Stren in the logistic regression output. This co-efficient being 0.493. Impact = (Coefficient) * (Change in Value) = 0.493 * (5 - 3) = 0.986 To interpret this, we can exponentiate the coefficient to obtain the odds ratio associated with the change: Odds Ratio = exp(0.493) ≈ 1.637

Week 6 Hunter O’Brien This means that for every one-unit increase in CO2_STREN (moving from a 3 to a 5), the odds of the dependent variable increase by approximately 63.7%. Therefore, moving from a 3 to a 5 on the CO2_STREN scale is associated with an increase in the odds of the outcome by approximately 63.7%. Question 4: As a Chick Fil A manager, I would find a conjoint analysis study focused on optimizing the drive-thru experience to be of great interest. The attributes I would manipulate in this study would include: 1. Ordering Method: a. Traditional Drive-thru Intercom b. Mobile Order Pickup c. Dual Drive-thru Lanes with Attendant d. Voice-Activated Ordering System 2. Wait Time a. 2 minutes b. 5 minutes c. 8 minutes d. 10 minutes 3. Menu Complexity: a. Limited Menu (Core items only) b. Standard Menu (Full menu, including seasonal items)

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Week 6 Hunter O’Brien c. Customized Menu (Tailored options based on customer preferences) d. Premium Menu (Exclusive items or premium upgrades) 4. Staff Interaction: a. Limited Interaction (Minimal interaction with staff) b. Friendly Greeting (Warm welcome and interaction with staff) c. Personalized Service (Staff recognizes and addresses customers by name) d. Upselling Approach (Staff suggests additional items or upgrades) I would distribute this survey to Chick Fil A customers who frequently utilize the drive- thru service, as well as those who have varying levels of experience with different ordering methods. Surveys could be administered both digitally through the Chick Fil A app or website and in-person at the drive-thru lane. Additionally, I might consider targeting specific demographics, such as families with children or professionals on-the-go, to capture a diverse range of preferences. By conducting such a study, I anticipate gaining insights into the key drivers of customer satisfaction and efficiency within the drive-thru experience. Understanding which attributes customers prioritize, such as ordering method, wait time, menu complexity, and staff interaction, can inform operational decisions aimed at enhancing service quality and streamlining processes. Ultimately, optimizing the drive-thru experience based on customer preferences can lead to increased customer satisfaction, loyalty, and profitability for Chick Fil A

Week 6 Hunter O’Brien Question 5: Attached to this submission.

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