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1. The overall model statistically adequate at a 0.05 level of significance for predicting sale price(y)?

1.  The overall model statistically adequate at a 0.05 level of significance for predicting sale price(y)?
a.  no, since some other t-tests for the individual variables are not significant.
b.  no since the standard deviation of the model is fairly large.
c.  yes, since none of the B -estimates are equal to 0.
d.  yes, since the p-value for the test is smaller than 0.05
2.  For a moving average which is not true?
a.  it can be used to smooth a series.
b.  it gives equal weight to all values in the computation.
c.  it is simpler than the method of exponential smoothing.
d.  it gives greater weight to more recent data
3.  I need to decide whether I should invest in a particular stock.  I would like to invest if the price is likely to rise in the long run.  I have data on the daily average price of this stock over the past 12 months.  My best action is:
a.  compute moving averages
b.  perform exponential smoothing
c.  estimate a least square trend model
d.  compute the MAD statistic
4.  A model that can be used to make predictions about long-term future values of a time series is:
a.  linear trend
b.  quadratic trend
c.  exponential trend
d.  all of the above

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