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Can money spent on gifts buy love? Refer to the Journal of Experimental Social Psychology (Vol. 45, 2009) study of whether buying gifts truly buys love, Exercise 9.9 (p. 529). Recall those study participants were randomly assigned to play the role of gift-giver or gift-receiver. Gift-receivers were asked to provide the level of appreciation (measured on a 7-point scale where 1 = 鈥渘ot at all鈥 and 7 = 鈥渢o a great extent鈥) they had for the last birthday gift they received from a loved one. Gift-givers were asked to recall the last birthday gift they gave to a loved one and to provide the level of appreciation the loved one had for the gift.

  1. Write a dummy variable regression model that will allow the researchers to compare the average level of appreciation for birthday gift-giverswith the average for birthday gift-receivers.
  2. Express each of the model鈥檚 尾 parameters in terms ofand.
  3. The researchers hypothesize that the average level of appreciation is higher for birthday gift-givers than for birthday gift-receivers. Explain how to test this hypothesis using the regression model.

Short Answer

Expert verified
  1. The dummy variable regression model for appreciation for birthday gift-givers and birthday gift-receivers can be written as
  2. anddenotes the difference between the mean levels for different dummy variables. Here,denotes the base level for mean when both the variablesandare 0. This means thatwhile
  3. H0:1=2=0Ha:1>2

Here, the null hypothesis becomes that the means for the two groups are equal meaningwhile the alternate hypothesis implies that the means ( and ) differ, specifically mean appreciation for birthday gift-givers is higher than for birthday gift-receivers.

Step by step solution

01

Dummy variable regression model

The dummy variable regression model for appreciation for birthday gift-givers (G)and birthday gift-receivers (R)can be written as y=0+1x1+2x2+Where, x1denotes appreciation for birthday gift-givers (G)and x2denotes appreciation by gift-receivers. The value both x1and x2can take are 0 or 1; 1 for the presence of appreciation they had felt and 0 otherwise.

02

Interpretation of β's

1and 2denotes the difference between the mean levels for different dummy variables.

Here, 0denotesx1 the base level for mean when both the variablesx1 and x2are 0.

This means that1=G-A while2=R-A

03

Hypothesis testing

H0:1=2=0Ha:1>2

Here, the null hypothesis becomes that the means for the two groups are equal meaning 1=2while the alternate hypothesis implies that the means (1and 2) differ, specifically mean appreciation for birthday gift-givers is higher than for birthday gift-receivers.

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Most popular questions from this chapter

The Minitab printout below was obtained from fitting the modely=0+1x1+2x2+3x1x2+to n = 15 data points.

a) What is the prediction equation?

b) Give an estimate of the slope of the line relating y to x1 when x2 =10 .

c) Plot the prediction equation for the case when x2 =1 . Do this twice more on the same graph for the cases when x2 =3 and x2 =5 .

d) Explain what it means to say that x1and x2interact. Explain why your graph of part c suggests that x1and x2interact.

e) Specify the null and alternative hypotheses you would use to test whetherx1andx2interact.

f)Conduct the hypothesis test of part e using =0.01.

Question: Diet of ducks bred for broiling. Corn is high in starch content; consequently, it is considered excellent feed for domestic chickens. Does corn possess the same potential in feeding ducks bred for broiling? This was the subject of research published in Animal Feed Science and Technology (April 2010). The objective of the study was to establish a prediction model for the true metabolizable energy (TME) of corn regurgitated from ducks. The researchers considered 11 potential predictors of TME: dry matter (DM), crude protein (CP), ether extract (EE), ash (ASH), crude fiber (CF), neutral detergent fiber (NDF), acid detergent fiber (ADF), gross energy (GE), amylose (AM), amylopectin (AP), and amylopectin/amylose (AMAP). Stepwise regression was used to find the best subset of predictors. The final stepwise model yielded the following results:

TME^=7.70+2.14(AMAP)+0.16(NDF), R2 = 0.988, s = .07, Global F p-value = .001

a. Determine the number of t-tests performed in step 1 of the stepwise regression.

b. Determine the number of t-tests performed in step 2 of the stepwise regression.

c. Give a full interpretation of the final stepwise model regression results.

d. Explain why it is dangerous to use the final stepwise model as the 鈥渂est鈥 model for predicting TME.

e. Using the independent variables selected by the stepwise routine, write a complete second-order model for TME.

f. Refer to part e. How would you determine if the terms in the model that allow for curvature are statistically useful for predicting TME?

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)=0+1x1+2x2+3x1x2, 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?

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