1
ECON1320
Quantitative Economics and
Business Analysis B
LECTURE 12
Review
2
Topic Checklist
Lecture
Topic
Readings
56
Multiple Regression
14.1, 14.4, 13.3, 15.4,
16.5, 15.2
78
Time Series Analysis
16.1  16.5
9
Index Numbers
16.6,
H&T Chapter 12,
ABS handout
10
Survey Sampling
7.1m
H&T Chapter 14
11
Decision Theory
19.1 – 19.4
3
Multiple Regression
You should be able to ...
square4
state the assumptions behind the multiple regression
model
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interpret the regression coefficients, r squared, adj r
2
, and
measures of variation such as SST, SSR, SSE, MSR,
MSE and the standard error of the estimate; and be able
to calculate such values from a partial EXCEL/KADD
output.
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use the estimated regression model to generate
predictions
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conduct hypothesis tests and construct confidence
intervals concerning individual regression coefficients
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conduct an
F
test for the overall significance of the
regression model
4
Multiple Regression cont.
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use residual plots and histograms to assess the
assumptions of homoskedasticity and normality.
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use residual plots and the DurbinWatson statistic to
assess the assumption that the errors are serially
uncorrelated
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use the
VIF
to measure collinearity
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use and understand the role of dummy variables
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 Three '08
 JOHN
 Economics, Statistics, Regression Analysis, Time series analysis, exam room

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