Question #100

Reading: Reading 1 Multiple Regression

PDF File: Reading 1 Multiple Regression.pdf

Page: 48

Status: Unattempted

Part of Context Group: Q99-100
Shared Context
- The best test for unconditional heteroskedasticity is: A) the Breusch-Godfrey test only. B) the Breusch-Pagan test only. C) neither the Durbin-Watson test nor the Breusch-Pagan test.
Question
Assuming (for this question only) that the F-test was significant but that the t-tests of the independent variables were insignificant, this would most likely suggest:
Answer Choices:
A. conditional heteroskedasticity
B. serial correlation
C. multicollinearity. Quin Tan Liu, CFA, is looking at the retail property sector for her manager. She is undertaking a top down review as she feels this is the best way to analyze the industry segment. To predict U.S. property starts (housing), she has used regression analysis. Liu included the following variables in her analysis: Average nominal interest rates during each year (as a decimal) Annual GDP per capita in $'000 Given these variables the following output was generated from 30 years of data:
Explanation
When the F-test and the t-tests conflict, multicollinearity is indicated. (Module 1.3, LOS 1.j) Quin Tan Liu, CFA, is looking at the retail property sector for her manager. She is undertaking a top down review as she feels this is the best way to analyze the industry segment. To predict U.S. property starts (housing), she has used regression analysis. Liu included the following variables in her analysis: Average nominal interest rates during each year (as a decimal) Annual GDP per capita in $'000 Given these variables the following output was generated from 30 years of data: Exhibit 1 – Results from Regressing Housing Starts (in Millions) on Interest Rates and GDP Per Capita Coefficient Standard Error T-statistic Intercept 0.42 3.1 Interest rate −1.0 −2.0 GDP per capita 0.03 0.7 ANOVA df SS MSS F Regression 2 3.896 1.948 21.644 Residual 27 2.431 0.090 Total 29 6.327 Observations 30 Durbin-Watson 1.22 Exhibit 2 - Critical Values for F-Distribution at 5% Level of Significance Degrees of Freedom for the Denominator Degrees of Freedom (df) for the Numerator 1 2 3 26 4.23 3.37 2.98 27 4.21 3.35 2.96 28 4.20 3.34 2.95 29 4.18 3.33 2.93 30 4.17 3.32 2.92 31 4.16 3.31 2.91 32 4.15 3.30 2.90 The following variable estimates have been made for 20X7: GDP per capita = $46,700 Interest rate = 7%
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