Assignment6 due by Midnight (11:59pm) Sunday, May 1
st
, 2011 (Chapters 12
& 13)
True/False questions carry 1points each, Multiple Choices carry 1.5 points
each and the Essay type questions carry 2.5 points each. The total score is 50
points. I will round up if your total score is in decimals.
True/False (1 point each)
Chapter 12
1
. The
χ
2
goodness of fit cannot be used for quantitative data.
T
2. The actually measured counts in the cells of a contingency table are referred to
as the expected cell frequencies.
F
3. The chisquare distribution is a continuous probability distribution that is
skewed to the right.
T
4. In a contingency table, if all of the expected frequencies equal the observed
frequencies, then we can conclude that there is a perfect dependence between rows
and columns.
F
5. In performing a chisquare test of independence, as the difference between the
respective observed and expected frequencies increase, the probability of
concluding that the row variable is independent of the column variable increases.
F
6. The chisquare goodness of fit test can be used to test whether a population has
specified multinomial probabilities or to test if a sample has been selected from a
normally distributed population. It can also be applied to test if a sample data
comes from other distribution forms such as Uniform Distribution or Poisson.
T
Chapter 13
7. In a simple linear regression model, the coefficient of determination only
indicates the strength of the relationship between independent and dependent
1
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variable, but does not show whether the relationship is positive or negative.
T
8. When using simple regression analysis, if there is a strong correlation between
the independent and dependent variable, then we can conclude that an increase in
the value of the independent variable will lead to an increase in the value of the
dependent variable.
F
9. In Regression Analysis if the variance of the error term is constant, we call it the
Heteroscedasticity property.
F
10. In simple linear
regression
analysis, if the error terms exhibit a positive or
negative autocorrelation over time, then the assumption of constant variance is
violated.
F
11. The expected value of the error term does not change from observation to
observation.
T
12. A significant positive correlation between X and Y implies that changes in X
cause Y to change.
T
Multiple Choices (1.5 points each)
Chapter 12
1. The chisquare goodness of fit is _________ a onetailed test with the rejection
region in the right tail.
A.
Always
B. Sometimes
C. Never
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 Spring '11
 sda
 Linear Regression, Regression Analysis, linear regression model, defective units

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