Introduction to Business Statistics
Introduction to Business Statistics
7th Edition
ISBN: 9781111792374
Author: WEIERS
Publisher: Cengage Learning
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Chapter 1, Problem 1.21CE

Roger Amster teaches an English course in which 40 students are enrolled. After yesterday’s class, Roger questioned the 5 students who always sit in the back of the classroom. Three of the 5 said “yes” when asked if they would like A Tale of Two Cities as the next class reading assignment.
a. Identify the population and the sample in this situation.
b. Is this likely to be a representative sample? If not, why not?

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4. Linear Regression - Model Assumptions and Interpretation A real estate analyst is studying how house prices (Y) are related to house size in square feet (X). A simple linear regression model is proposed: The analyst fits the model and obtains: • Ŷ50,000+150X YBoB₁X + € • R² = 0.76 • Residuals show a fan-shaped pattern when plotted against fitted values. Questions: a) Interpret the slope coefficient in context. b) Explain what the R² value tells us about the model's performance. c) Based on the residual pattern, what regression assumption is likely violated? What might be the consequence? d) Suggest at least two remedies to improve the model, based on the residual analysis.

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