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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

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.

Consider relating E(y) to two quantitative independent variables x1 and x2.

  1. Write a first-order model for E(y).

  2. Write a complete second-order model for E(y).

Question:Consider the first-order model equation in three quantitative independent variables E(Y)=2-3x1+5x2-x3

  1. Graph the relationship between Y and x3for x1=2 and x2=1
  2. Repeat part a for x1=1and x2=-2
  3. How do the graphed lines in parts a and b relate to each other? What is the slope of each line?
  4. If a linear model is first-order in three independent variables, what type of geometric relationship will you obtain when is graphed as a function of one of the independent variables for various combinations of the other independent variables?

Question: Shopping on Black Friday. Refer to the International Journal of Retail and Distribution Management (Vol. 39, 2011) study of shopping on Black Friday (the day after Thanksgiving), Exercise 6.16 (p. 340). Recall that researchers conducted interviews with a sample of 38 women shopping on Black Friday to gauge their shopping habits. Two of the variables measured for each shopper were age (x) and number of years shopping on Black Friday (y). Data on these two variables for the 38 shoppers are listed in the accompanying table.

  1. Fit the quadratic model, E(y)=β0+β1x+β2x2, to the data using statistical software. Give the prediction equation.
  2. Conduct a test of the overall adequacy of the model. Use α=0.01.
  3. Conduct a test to determine if the relationship between age (x) and number of years shopping on Black Friday (y) is best represented by a linear or quadratic function. Use α=0.01.

Question: There are six independent variables, x1, x2, x3, x4, x5, and x6, that might be useful in predicting a response y. A total of n = 50 observations is available, and it is decided to employ stepwise regression to help in selecting the independent variables that appear to be useful. The software fits all possible one-variable models of the form

where xi is the ith independent variable, i = 1, 2, …, 6. The information in the table is provided from the computer printout.

E(Y)=β0+β1xi

a. Which independent variable is declared the best one variable predictor of y? Explain.

b. Would this variable be included in the model at this stage? Explain.

c. Describe the next phase that a stepwise procedure would execute.

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