HBX CORe Real Exam Questions and Answers FREE
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HBX CORe (Credential of Readiness) program is an online business fundamentals course offered by Harvard Business School. The program is designed to provide learners with the essential skills and knowledge necessary to succeed in today's business world. The HBX CORe program covers three core business topics: Business Analytics, Economics for Managers, and Financial Accounting. Each of these topics is broken down into individual modules that cover specific concepts and skills. The program is designed to be flexible, allowing learners to complete the modules at their own pace and on their own schedule.
HBX CORe Final Examination is an essential component of the program that tests learners' understanding of business concepts. It is a rigorous exam that requires preparation and dedication. Passing the exam is an achievement that demonstrates the learner's readiness to apply business concepts in real-world situations.
HBX CORe (Credential of Readiness) is an online program offered by Harvard Business School that provides a comprehensive introduction to the fundamentals of business. This program is designed for students and professionals who wish to gain a better understanding of business concepts and pursue a successful career in the field. HBX CORe covers three key areas: business analytics, economics for managers, and financial accounting.
NEW QUESTION # 130
The only bakery in a small town has introduced a new type of cookie and is not sure what demand for the cookie looks like. How could the bakery determine the marginal revenue earned by each additional cookie produced?
- A. Conduct a focus group to determine how sensitive customers are to price changes
- B. Decrease the price by small increments and observe the corresponding changes in quantity sold and revenue
- C. Increase advertising to raise demand and sell more cookies
- D. Ask customers to fill out a survey about how a change in price would affect their purchasing decisions
Answer: B
NEW QUESTION # 131
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A student is interested in which factors affect the U.S. poverty rate and develops a model using the following independent variables:
The unemployment rate The percent of the adult (over 25) population with at least a bachelor's degree The percent of the population without health insurance
The student collects data from each of the 50 states in the U.S. and Washington D.C. for the year 2012 and runs the regression in Excel. The results of this regression are given below. Based on these results, what does the model predict the poverty rate would be for a state for which the unemployment rate is 6%, 20% of all adults over 25 have at least a bachelor's degree, and 5% of the population does not have health insurance?
(Note that all percent values are given as numbers between 0 and 1.)
- A. 1.14%
- B. 14.14%
- C. 26.48%
- D. 1.27%
Answer: B
NEW QUESTION # 132
An on-demand taxi service guarantees that it can provide a taxi in five minutes or less. If the service has a fixed number of taxis, how can it most cheaply guarantee "five minutes or less" during busy periods?
- A. It raises prices during the busy periods.
- B. It maintains a fleet of taxis large enough to meet demand in busy periods.
- C. It is impossible to keep the guarantee during busy periods.
- D. It keeps demand low by encouraging drivers to be less polite during busy periods.
Answer: A
NEW QUESTION # 133
A manager wants to examine the effect of season (Spring, Summer, Autumn or Winter) and time of the game (Morning, Afternoon or Evening) on the number of television viewers for a National Basketball Association game. How many dummy variables should be included in the multipleregression?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 134
In order to predict an employee's probability of success at work, a company requires employees to complete a test that measures Intelligence Quotient (IQ) and Emotional Intelligence Quotient (EQ). A new manager at the company believes that the probability of being successful at work is closely related to an employee's Reputation Quotient (RQ).
Based on the two regressions outputs below, does adding the RQ component help forecast the probability of being successful at work?
- A. Yes, the standard error decreased from 0.11 to 0.10 when RQ was added.
- B. Yes, the Adjusted R2 increased from 0.8441 to 0.8670 when RQ was added.
- C. No, the coefficient of RQ is close to 0.
- D. Yes, the R2 increased from 0.8504 to 0.8751 when RQ was added.
Answer: B
NEW QUESTION # 135
An executive at an insurance company has developed a new method for determining monthly rates for drivers insured by the company. Using a regression analysis of different factors, the executive has come to the conclusion that the two most important factors are the value of the carand the number of miles the driver lives from the city. The partial regression output table provided by the data is as follows:
Given this information, how much could a driver expect to pay per month for a car worth $45,000 located three miles from the city center?
- A. $836.50
- B. $313.50
- C. $563.50
- D. $250.00
Answer: C
NEW QUESTION # 136
Deferred Taxes can be which of the following account types? (Select all that apply.)
- A. Liability
- B. Revenue
- C. Owner's Equity
- D. Expense
- E. Asset
Answer: A,E
NEW QUESTION # 137
Which of the following activities will cause assets and owner's equity to decrease?
- A. Sell used plant equipment and realize a gain
- B. Repurchase common shares for cash
- C. Declare dividends on outstanding shares
- D. Pay off the principal and interest of a long-term debt
Answer: B
NEW QUESTION # 138
ABC Furniture Store recently hired a new salesperson and wished to examine how that affected the store's daily furniture sales. Prior to the new salesperson's hire, the store averaged $10,000 worth of sales per day with a standard deviation of $1,500. The store's manager took a random sample of 100 days after the salesperson's date of hire and found that the store averaged $11,500 worth of sales per day. Which of the following options would correctly calculate the 95% range of likely sample means for this hypothesis test? Note that the Excel function is: =CONFIDENCE.NORM(alpha, standard_dev, size)
- A. = 10000 +- CONFIDENCE.NORM(0.05,1500,100)
- B. =11500 +- CONFIDENCE.NORM(0.025,1500,100)
- C. =11500 +- CONFIDENCE.NORM(0.05,1500,100)
- D. =10000 +- CONFIDENCE.NORM(0.025,1500,100)
Answer: A
Explanation:
NEW QUESTION # 139
An earthquake destroys a major manufacturing plant that produces sneakers. The manufacturing plant for rubber, a complementary good to sneakers, is unaffected by the earthquake. What is the result?
- A. The equilibrium quantity for both products decreases.
- B. The equilibrium quantity of sneakers increases, and the equilibrium quantity of rubber decreases.
- C. The equilibrium quantity for both products remains the same.
- D. The equilibrium quantity of sneakers decreases, and the equilibrium quantity of rubber increases.
Answer: A
NEW QUESTION # 140 
Which of the following formulas in Excel would correctly calculate the mean of the data below? (Select all that apply.)
- A. =AVERAGE(B2:B13)
- B. =MODE(B2:B13)
- C. =SUM(B2:B13)/12
- D. =MEDIAN(B2:B13)
- E. =MEAN(B2:B13)
Answer: A,C
NEW QUESTION # 141
What is the approximate poverty rate for the outlier in the scatterplot below?
- A. 53%
- B. 10%
- C. 18%
- D. 25%
Answer: C
NEW QUESTION # 142
A chain of coffee stores recently released a new product priced at $3.00. After a few weeks of sales data, management noticed that the new product sold out in a majority of its stores. Which of the following strategies should management use to determine an ideal price?
- A. Maintain current prices and increase supply of the product
- B. Gradually increase the price until profits begin to fall
- C. Survey customers who recently purchased the product
- D. Adjust the price for the product until it no longer sells out anywhere
Answer: B
NEW QUESTION # 143
A researcher wants to determine the relationship between the number of sea-turtles and the depth of the ocean.
Based on the data below, select the correct columnsfor the Excel regression inputranges.
(Select all that apply.)
- A. E1:E18
- B. A1:A18
- C. D1:D18
- D. B1:B18
- E. C1:C18
Answer: B,C
NEW QUESTION # 144
A regulatory agency decides to enforce a price ceiling equal to marginal cost for a local utility provider which acts as a monopoly. Which of the following observations is true?
- A. New utility companies will be incentivized to enter the industry.
- B. The government might have to pay the firm a subsidy to prevent it from exiting the industry.
- C. The demand curve will shift outward.
- D. The price will be exactly the same as it would be without regulation.
Answer: B
NEW QUESTION # 145
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