Author: Anonymous

This question has three (3) parts: What are the guidelines Porter gave us for defining an industry for an Industry Analysis? Using the above, pick another MBA (or relevant graduate) program that is in the same industry as your program at the Carlson School of Management. Briefly explain why you believe this to be true Now pick another MBA (or relevant graduate) program that is not in the same industry as your program at the Carlson School of Management. Briefly explain why you believe this to be true.

How does the Threat of Substitutes limit the profitability of the focal industry in a Five Forces Analysis?  Be sure to explain your answer for full credit.

Remembering that an Industry Analysis focuses on the competition for profit at the Industry Level and is not about how individual firms compete, what are we looking for when we analyze Intra-Industry Rivalry in a Five Forces Analysis?  Be sure to explain your answer for full credit.

Unauthorized embalming may be viewed by the courts as what type of violation?

A hotel chain ran multiple regression to predict nightly revenue per room ($) using three predictors: average room rate ($), occupancy rate (%), and number of events booked in the city that night. Data covers 120 nights across 5 properties. Below is the summarized output Regression Statistics R-squared 0.89 Adjusted R-squared 0.88 F-statistic 316.4 p-value (F-test) 0.0000 Observations 120   Variable Coefficient p-value Intercept −18.40 0.214 Average Room Rate ($) 0.93 0.0000 Occupancy Rate (%) 1.12 0.0003 City Events (count) 3.85 0.162 Based on the Coefficients table, which predictor(s) are statistically significant at the α = 0.05 level? (Select All)

A coffee shop chain wants to predict daily revenue ($) based on foot traffic (number of customers per day). Simple linear regression was run on 60 days of data. Below is the summarized output. Regression Statistics R-squared 0.81 F-statistic 248.6 p-value (F-test) 0.0000 Observations 60 R-squared = 0.81. Which statement best captures the business implication?

The correlation coefficient between the number of customer complaints per month and customer satisfaction score (1–10) is r = −0.79. What is the correct interpretation?

A marketing analyst plots a scatter plot to examine the relationship between customer satisfaction scores (on a scale from 1 to 10) and the number of monthly purchases. The analyst observes that the data points form an upward-sloping pattern and are fairly tightly clustered around an invisible line.  Which of the following best describes what the analyst can conclude from the scatter plot?    

A coffee shop chain wants to predict daily revenue ($) based on foot traffic (number of customers per day). Simple linear regression was run on 60 days of data. Below is the summarized output. Regression Statistics R-squared 0.81 F-statistic 248.6 p-value (F-test) 0.0000 Observations 60 What does the F-test result (F = 248.6, p = 0.0000) indicate about this regression model?

A restaurant company estimates the following simple regression equation: Ŷ = 12 + 3X where: Y = Customer Spending ($) X = Age (years) Which interpretation is correct?