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 asE(y)=β0+β1x1where x1 denotes the type of college.
  3. The estimated regression model developed in part b can be used to infer conclusions about the population means. When x1 = 1,E(y)=β0+β1and when x1 = 0 (meaning private college charges) which is taken as the base level here, E(y) = β0.Therefore, for x1 = 1, E(y)=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 . E(y)=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,E(y)=β0+β1and when x1 = 0 (meaning private college charges) which is taken as the base level here, E(y) = β0

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

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Most popular questions from this chapter

Question:How is the number of degrees of freedom available for estimating σ2(the variance ofε ) related to the number of independent variables in a regression model?

Question: Women in top management. Refer to the Journal of Organizational Culture, Communications and Conflict (July 2007) study on women in upper management positions at U.S. firms, Exercise 11.73 (p. 679). Monthly data (n = 252 months) were collected for several variables in an attempt to model the number of females in managerial positions (y). The independent variables included the number of females with a college degree (x1), the number of female high school graduates with no college degree (x2), the number of males in managerial positions (x3), the number of males with a college degree (x4), and the number of male high school graduates with no college degree (x5). The correlations provided in Exercise 11.67 are given in each part. Determine which of the correlations results in a potential multicollinearity problem for the regression analysis.

  1. The correlation relating number of females in managerial positions and number of females with a college degree: r =0.983.

  2. The correlation relating number of females in managerial positions and number of female high school graduates with no college degree: r =0.074.

  3. The correlation relating number of males in managerial positions and number of males with a college degree: r =0.722.

  4. The correlation relating number of males in managerial positions and number of male high school graduates with no college degree: r =0.528.

Question: Identify the problem(s) in each of the residual plots shown below.

The first-order model E(y)=β0+β1x1was fit to n = 19 data points. A residual plot for the model is provided below. Is the need for a quadratic term in the model evident from the residual plot? Explain.


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