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State casket sales restrictions. Some states permit only licensed firms to sell funeral goods (e.g., caskets, urns) to the consumer, while other states have no restrictions. States with casket sales restrictions are being challenged in court to lift these monopolistic restrictions. A paper in the Journal of Law and Economics (February 2008) used multiple regression to investigate the impact of lifting casket sales restrictions on the cost of a funeral. Data collected for a sample of 1,437 funerals were used to fit the model. A simpler version of the model estimated by the researchers is E(y)=β0+β1x1+β2x2+β3x1x2, where y is the price (in dollars) of a direct burial, x1 = {1 if funeral home is in a restricted state, 0 if not}, and x2 = {1 if price includes a basic wooden casket, 0 if no casket}. The estimated equation (with standard errors in parentheses) is:

y^=1432 + 793x1- 252x2+ 261x1x2, R2= 0.78

(70) (134) (109)

  1. Calculate the predicted price of a direct burial with a basic wooden casket at a funeral home in a restricted state.

  2. The data include a direct burial funeral with a basic wooden casket at a funeral home in a restricted state that costs \(2,200. Assuming the standard deviation of the model is \)50, is this data value an outlier?

  3. The data also include a direct burial funeral with a basic wooden casket at a funeral home in a restricted state that costs \(2,500. Again, assume that the standard deviation of the model is \)50. Is this data value an outlier?

Short Answer

Expert verified
  1. The predicted price of a direct burial with a basic wooden casket at a funeral home in a restricted state is $2234.

  2. The value $2,200 lies within the +/- 3-sigma limit hence this data value is not an outlier.

  3. The value $2,500 lies outside the +/- 3-sigma limit hence this data value is an outlier.

Step by step solution

01

Predicted price

The predicted price of a direct burial with a basic wooden casket at a funeral home in a restricted state can be estimated when the value of x1 = 1 and x2 = 1;

y^=1432 + 793x1- 252x2+ 261x1x2y = 1432 + 7931-2521+26111y^=2234

Therefore, the predicted price of a direct burial with a basic wooden casket at a funeral home in a restricted state is $2234

02

Outlier

The value of an outlier is determined by +/- 3σ from the mean. The mean value here is $2,234 with standard deviation being $50. The 3-sigma limit becomes $2,384.

The value $2,200 lies within the +/- 3-sigma limit hence this data value is not an outlier.

03

Outlier

The value of an outlier is determined by +/- 3σ from the mean. The mean value here is $2,234 with standard deviation being $50. The 3-sigma limit becomes $2,384.

The value $2,500 lies outside the +/- 3-sigma limit hence this data value is an outlier.

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Most popular questions from this chapter

Question: Bus Rapid Transit study. Bus Rapid Transit (BRT) is a rapidly growing trend in the provision of public transportation in America. The Center for Urban Transportation Research (CUTR) at the University of South Florida conducted a survey of BRT customers in Miami (Transportation Research Board Annual Meeting, January 2003). Data on the following variables (all measured on a 5-point scale, where 1 = very unsatisfied and 5 = very satisfied) were collected for a sample of over 500 bus riders: overall satisfaction with BRT (y), safety on bus (x1), seat availability (x2), dependability (x3), travel time (x4), cost (x5), information/maps (x6), convenience of routes (x7), traffic signals (x8), safety at bus stops (x9), hours of service (x10), and frequency of service (x11). CUTR analysts used stepwise regression to model overall satisfaction (y).

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Question: Write a first-order model relating to

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Question: Novelty of a vacation destination. Many tourists choose a vacation destination based on the newness or uniqueness (i.e., the novelty) of the itinerary. The relationship between novelty and vacationing golfers’ demographics was investigated in the Annals of Tourism Research (Vol. 29, 2002). Data were obtained from a mail survey of 393 golf vacationers to a large coastal resort in the south-eastern United States. Several measures of novelty level (on a numerical scale) were obtained for each vacationer, including “change from routine,” “thrill,” “boredom-alleviation,” and “surprise.” The researcher employed four independent variables in a regression model to predict each of the novelty measures. The independent variables were x1 = number of rounds of golf per year, x2 = total number of golf vacations taken, x3 = number of years played golf, and x4 = average golf score.

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Suppose you used Minitab to fit the model y=β0+β1x1+β2x2+ε

to n = 15 data points and obtained the printout shown below.

  1. What is the least squares prediction equation?

  2. Find R2and interpret its value.

  3. Is there sufficient evidence to indicate that the model is useful for predicting y? Conduct an F-test using α = .05.

  4. Test the null hypothesis H0: β1= 0 against the alternative hypothesis Ha: β1≠ 0. Test using α = .05. Draw the appropriate conclusions.

  5. Find the standard deviation of the regression model and interpret it.

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