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1.
What is the variable used to predict the value of another called?
A)
Independent
B)
Dependent
C)
Correlation
D)
Determination
2.
Based on the regression equation, we can
A)
predict the value of the dependent variable given a value of
the independent variable.
B)
predict the value of the independent variable given a value of the dependent variable.
C)
measure the association between two variables.
3.
What is the range of values for a coefficient of correlation?
A)
0 to +1.0
B)
–3 to +3 inclusive
C)
–1.0 to +1.0 inclusive
D)
Unlimited range
4.
What is the general form of the regression equation?
A)
Y
' =
ab
B)
Y
' =
a
+
bX
C)
Y
' =
a
–
bX
D)
Y
' =
abX
5.
Which value of
r
indicates a stronger correlation than 0.40?
A)
–0.30
B)
–0.50
C)
+0.38
D)
0
6.
Suppose the least squares regression equation is
Y
' = 1202 + 1133
X
.
When
X
= 3, what does
Y
' equal?
A)
5,734
B)
8,000
C)
4,601
D)
4,050
7.
In the least squares equation,
Y
' = 10 + 20
X
,
the value of 20 indicates
A)
the
Y
intercept.
B)
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This note was uploaded on 10/19/2011 for the course MATH 221 SUMMER taught by Professor Lipper during the Summer '11 term at DeVry NJ.
 Summer '11
 Lipper

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