Ascorbic acid reduces goat stress. Refer to the Animal Science Journal (May, 2014) study on the use of ascorbic acid (AA) to reduce stress in goats during transportation from farm to market, Exercise 9.12 (p. 529). Recall that 24 healthy goats were randomly divided into four groups (A, B, C, and D) of six animals each. Goats in group A were administered a dosage of AA 30 minutes prior to transportation; goats in group B were administered a dosage of AA 30 minutes following transportation; group C goats were not given any AA prior to or following transportation; and, goats in group D were not given any AA and were not transported. Weight was measured before and after transportation and the weight loss (in kilograms) determined for each goat.

  1. Write a model for mean weight loss, E(y), as a function of the AA dosage group (A, B, C, or D). Use group D as the base level.
  2. Interpret the’s in the model, part a.
  3. Recall that the researchers discovered that mean weight loss is reduced in goats administered AA compared to goats not given any AA. On the basis of this result, determine the sign (positive or negative) of as many of the’s in the model, part a, as possible.

Short Answer

Expert verified
  1. A dummy variable model for mean weight loss as a function of the AA dosage group (A, B, C, and D) can be written as E(y)=β0+β1x1+β2x2+β3x3.
  2. The value ofβ0represents the mean weight loss at the base level, here the base level is represented by group D of the AA dosage level.β1represents the mean weight loss when the AA dosage group observed in group A.β2represents the mean weight loss when the AA dosage group observed in group B.β3represents the mean weight loss when the AA dosage group observed in group C.
  3. The sign ofβ0 will be positive. However, the sign of β1and β2will be negative since the researcher discovered that the mean weight loss is reduced in goats who were given AA. The sign ofβ3 will also be positive since group C was not given AA dosage.

Step by step solution

01

Dummy variable model

A dummy variable model for mean weight loss as a function of the AA dosage group (A, B, C, and D) can be written asE(y)=β0+β1x1+β2x2+β3x3

Wherex1 represents the group A of AA dosage

x2represents group B of the AA dosage

x3 represents group C of the AA dosage

02

Interpretation of

The value ofβ0represents the mean weight loss at base level, here the base level is represented by group D of the AA dosage level.

β1represents the mean weight loss when the AA dosage group observed in group A.

β2represents the mean weight loss when the AA dosage group was observed in group B.

β3represents the mean weight loss when the AA dosage group was observed in group C.

03

Sign of β

The sign β0of will be positive. However, the sign of role="math" localid="1649844743384" β1and β2 will be negative since the researcher discovered that the mean weight loss is reduced in goats who were given AA. The sign ofβ3 will also be positive since group C was not given AA dosage.

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Most popular questions from this chapter

The Minitab printout below was obtained from fitting the modely=β0+β1x1+β2x2+β3x1x2+εto 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 α=0.01.

Question: Suppose you fit the regression modelE(y)=β0+β1x1+β2x2+β3x1+β4x12+β5x22to n = 30 data points and wish to test H0: β3 = β4 = β5 = 0

a. State the alternative hypothesis Ha.

b. Give the reduced model appropriate for conducting the test.

c. What are the numerator and denominator degrees of freedom associated with the F-statistic?

d. Suppose the SSE’s for the reduced and complete models are SSER = 1,250.2 and SSEC = 1,125.2. Conduct the hypothesis test and interpret the results of your test. Test using α = .05.

Suppose you fit the second-order model y=β0+β1x+β2x2+εto n = 25 data points. Your estimate ofβ2isβ^2= 0.47, and the estimated standard error of the estimate is 0.15.

  1. TestH0:β2=0againstHa:β20. Useα=0.05.
  2. Suppose you want to determine only whether the quadratic curve opens upward; that is, as x increases, the slope of the curve increases. Give the test statistic and the rejection region for the test forα=0.05. Do the data support the theory that the slope of the curve increases as x increases? Explain.

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.

  1. Give the hypothesized equation of a first-order model for y = change from routine.
  1. A test of H0: β3 = 0 versus Ha: β3< 0 yielded a p-value of .005. Interpret this result if α = .01.
  1. The estimate of β3 was found to be negative. Based on this result (and the result of part b), the researcher concluded that “those who have played golf for more years are less apt to seek change from their normal routine in their golf vacations.” Do you agree with this statement? Explain.
  1. The regression results for three dependent novelty measures, based on data collected for n = 393 golf vacationers, are summarized in the table below. Give the null hypothesis for testing the overall adequacy of the first-order regression model.
  1. Give the rejection region for the test, part d, for α = .01.
  1. Use the test statistics reported in the table and the rejection region from part e to conduct the test for each of the dependent measures of novelty.
  1. Verify that the p-values reported in the table support your conclusions in part f.
  1. Interpret the values of R2 reported in the table.

Question: Tilting in online poker. In poker, making bad decisions due to negative emotions is known as tilting. A study in the Journal of Gambling Studies (March, 2014) investigated the factors that affect the severity of tilting for online poker players. A survey of 214 online poker players produced data on the dependent variable, severity of tilting (y), measured on a 30-point scale (where higher values indicate a higher severity of tilting). Two independent variables measured were poker experience (x1, measured on a 30-point scale) and perceived effect of experience on tilting (x2, measured on a 28-point scale). The researchers fit the interaction model, . The results are shown below (p-values in parentheses).

  1. Evaluate the overall adequacy of the model using α = .01.

b. The researchers hypothesize that the rate of change of severity of tilting (y) with perceived effect of experience on tilting (x2) depends on poker experience (x1). Do you agree? Test using α = .01.

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