4) A store owner wants to find out if the customer satisfactory rating (1 being the lowest and 5 being thehighest) affects the selling power of the store. Listed below is the customer satisfactory rating of theyear and its corresponding sale (in thousands):SatisfactoryRatingSales4.31543.331334.211803.891904.0200

Customer Satisfaction can be one thing that can make all the difference in the business. It is the…

Answered: 4) A store owner wants to find out if…

Principles Of Marketing

17th Edition

ISBN:9780134492513

Author:Kotler, Philip, Armstrong, Gary (gary M.)

Publisher:Kotler, Philip, Armstrong, Gary (gary M.)

Chapter1: Marketing: Creating Customer Value And Engagement

Section: Chapter Questions

Problem 1.1DQ

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An auditor used regression analysis to evaluate the relationship between utility costs andmachine hours. The following information was developed using a computer softwareprogram: Intercept 2,050 Standard error of estimate 200Regression 0.825 Number of observations 36Correlation coefficient 0.800 How much is the utility cost if the company’s 10 machines will use 2,400 hours next month?a. ₱3,830b. ₱3,970c. ₱4,030d. ₱4,050
d. Now based on regression analysis predict the number of patients that Dr. Fok will see in year 11 and 12 based on the forecasted Robbery Rate - year 11 is 117.1 and year 12 is 120.8. e. What is the MAD? f. What is the correlation Coefficient – r-value? % g. Based on the overall analysis, how well does each model fit the data?
The K&R Camera shop sells all the latest cameras and accessories. To meet customer demand, the manager must forecast demand for items she sells. Lately the XR-42S zoom lens has been very popular. Recent monthly demand for this item has been as shown: Number of Lenses Month Sold 1 12 17 2 3 4 15 20 18 23 6.
Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Sales (1,000s of gallons) Week 1 17 2 21 3 19 23 5 18 6 16 7 21 8 19 9 23 10 21 11 16 12 23 (a) Using a weight of - for the most recent observation, for the second most recent observation, and - for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Time Series Value Weighted Moving Average Forecast Week 1. 17 2 21 19 4 23 5 18 6 16 7 21
I posted this question and it's been 18 hours that it still hasn't been answered. I only need the last two questions please (:
The SCORE framework espoused in the article entitled "The Board's Role in Sustainability" recommends each of the following to achieve board-of-director buy-in of a company's sustainability initiatives, except: articulating a simple and clear statement of purpose. taking "ownership" of the company's stated purpose. basing compensation systems on metrics that reflect purpose, not just profits recognizing that ultimately the firm has a fiduciary responsibility to put shareholders' interests above all others.
QWE Inn has recorded the following number of rooms sold for the first quarter of the year: January 2100 February 2500 March 2550 What is the 3-month moving average forecast of rooms sold equal to for the month April?
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A small local grocery has seen a decline in sales in the past few months. The owner has made no changes to the store in the last year. In the beginning, the owner thought the sales drop might be seasonal. However, looking at the past few years of sales data, the owner noticed that there had not been any decrease in sales during the same time in the previous years. Design a study to identify what might be the probable ultimate cause/s of the decline in sales for a grocery. For looking at the different causes, consider the box and arrow diagram given. Note the following things about the box and arrow diagram: If the arrow’s head is towards a box, that means the variable in the box (where the arrow’s head is) affects the variable in the box from where the arrow originated. E.g “Revenue/Sales” is affected by the “Number of shoppers/customers”. The boxes in grey are the variables you as a firm/owner can directly expect to affect which can further affect other variables in the model. E.g.…
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Design a study to identify what might be the probable ultimate cause/s of the decline in sales. For looking at the different causes, consider the box and arrow diagram given. Note the following things about the box and arrow diagram: If the arrow’s head is towards a box, that means the variable in the box (where the arrow’s head is) affects the variable in the box from where the arrow originated. E.g “Revenue/Sales” is affected by the “Number of shoppers/customers”. The boxes in grey are the variables you as a firm/owner can directly expect to affect which can further affect other variables in the model. E.g. You can incorporate training programs to improve “customer service” perceptions and, ultimately “Sales”. There is a hierarchy of the variables such that we have started from the broadest ones in thetop and then went to the finer one. The motivation for the research group here is to design a study for the store. This study is to find out the customer’s current perception…

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