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Comparing private and public college tuition. According to the Chronicle of Higher Education Almanac, 4-year private colleges charge, on average, five times as much for tuition and fees than 4-year public colleges. In order to estimate the true difference in the mean amounts charged for an academic year, random samples of 40 private colleges and 40 public colleges were contacted and questioned about their tuition structures.

  1. Which of the procedures described in Chapter 8 could be used to estimate the difference in mean charges between private and public colleges?

  2. Propose a regression model involving the qualitative independent variable type of college that could be used to investigate the difference between the means. Be sure to specify the coding scheme for the dummy variable in the model.

  3. Explain how the regression model you developed in part b could be used to estimate the difference between the population means.

Short Answer

Expert verified
  1. The method of independent sampling to find the difference between two population means would be used here.

  2. The regression model can be written asEy= β0=β1x1 where x1 denotes the type of college.

The estimated regression model developed in part b can be used to infer conclusions about the population means. When x1 = 1, Ey= β0+β1and when x1 = 0 (meaning private college charges) which is taken as the base level here, E(y) = β0. Therefore, for x1 = 1, Ey= β0+β1denotes the mean difference in the charges between private and public colleges.

Step by step solution

01

Difference between private and public college charges


The method of independent sampling to find the difference between two population means would be used here.

02

Regression model

Here to find a model indicating difference between means of private and public college charges a qualitative variable; x1; to denote the type of college is introduced where

X1= 1, if private college

0, if public college

The regression model can be written as Ey=β0+β1x1

03

Difference between population means

The estimated regression model developed in part b can be used to infer conclusions about the population means.

When x1= 1,Ey= β0+β1 and when x1 = 0 (meaning private college charges) which is taken as the base level here, E (y) = β0

Therefore, for x1 = 1, Ey= β0+β1denotes the mean difference in the charges between private and public colleges.

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Most popular questions from this chapter

Question: The complete modelE(y)=β0+β1x1+β2x2+β3x3+β4x4+εwas fit to n = 20 data points, with SSE = 152.66. The reduced model,E(y)=β0+β1x1+β2x2+ε, was also fit, with

SSE = 160.44.

a. How many β parameters are in the complete model? The reduced model?

b. Specify the null and alternative hypotheses you would use to investigate whether the complete model contributes more information for the prediction of y than the reduced model.

c. Conduct the hypothesis test of part b. Use α = .05.

Question: Write a second-order model relating the mean of y, E(y), to

a. one quantitative independent variable

b. two quantitative independent variables

c. three quantitative independent variables [Hint: Include allpossible two- way cross-product terms and squared terms.]

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  1. Create the appropriate dummy variables for each of the qualitative independent variables.
  2. Write a model for wine quality (y) as a function of grape-picking method. Interpret theβ’s in the model.
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Question: Consider the model:

y=β0+β1x1+β2x2+β3x3+ε

where x1 is a quantitative variable and x2 and x3 are dummy variables describing a qualitative variable at three levels using the coding scheme

role="math" localid="1649846492724" x2=1iflevel20otherwisex3=1iflevel30otherwise

The resulting least squares prediction equation is y^=44.8+2.2x1+9.4x2+15.6x3

a. What is the response line (equation) for E(y) when x2 = x3 = 0? When x2 = 1 and x3 = 0? When x2 = 0 and x3 = 1?

b. What is the least squares prediction equation associated with level 1? Level 2? Level 3? Plot these on the same graph.

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