A+ GRADED.
is it true that regression based on summary data may look better than they really are? correct
answers true
what is the goal of transforming data?
a.make the form of a scatterplot more nearly linear
b.make the spread of several groups more alike
c.all of the above
d.make the distribution of a variable more symmetric correct answers c.all of the above
which type of autocorrelation is this testing: If dL < D < dU?
a.First Order Auto Correlation, negative, not inclusive
b.First Order Auto Correlation, positive, not inclusive
c.Second Order Auto Correlation, negative, inclusive
d.Second Order Auto Correlation, negative, inclusive correct answers b.First Order Auto
Correlation, positive, inclusive
review list on slides
What is the value of a high-leverage point?
a.none of these
b.they always belong with other data points
c.they can typically stand alone
d.they can point to a non-linear relationship correct answers d.they can point to a non-linear
relationship
The farther the new ________ value is from the center of the x values, the _______ trust we
should place in the predicted value
a. x, less
b.y, more
, c.x, more
d.y,less correct answers a.x,less
Summaries _______ the impression of the strength of the correlation
a. do not inflate
b. in no way inflate
c.do inflate correct answers c.do inflate
Linear models should not be trusted beyond the span of the ______ values of the data.
a.x and y
b.y
c.x correct answers c.x
Out of the following what could be the unusual and extraordinary observations:
a.all of the above
b.cases that have both high leverage and large residuals are influential
c.cases that are extreme in y have large residuals correct answers a.all of the above
Testing for positive first-order autocorrelation: If D > dU, is evidence of positive
autocorrelation?
a.no, there is no evidence of positive first order autocorrelation
b.yes, there is evidence of positive first order autocorrelation
c.cannot be determined from the information given
d.none of these correct answers a.no, there is no evidence of positive first order autocorrelation
Sampling distributions help us make decisions about samples by letting us:
a.know whether our sampling was truly random
b.generate all possible outcomes of our hypothesis test
c.judge the relative position of a sample statistic compared with a population statistic