Question

Which of the following statements concerning regression and
correlation analysis is/are true?

A. If the correlation coefficient is zero, then there is no linear
relationship between the two variables.

B. A negative value for the correlation coefficient indicates that
high values of the independent variable are correlated with low
values of the dependent variable.

C. The slope coefficient for a simple linear regression model
measures the expected change in the independent variable for a unit
change in the dependent variable.

only A |
||

only B |
||

only A and B |
||

only B and C |
||

all three statements are false |

Answer #1

Ans. Only A and B.

Which of the following statements concerning the linear
correlation coefficient is/are true?
A: If the linear correlation coefficient for two variables is zero,
then there is no relationship between the variables.
B: If the slope of the regression equation is negative, then the
linear correlation coefficient is negative.
C: The value of the linear correlation coefficient always lies
between -1 and 1 inclusive.
D: A correlation coefficient of 0.62 suggests a stronger linear
relationship than a correlation coefficient of -0.82.

Which of the following statements concerning the linear
correlation coefficient are true?
I: If the linear correlation coefficient for two variables is
zero, then there is no relationship between the variables.
II: If the slope of the regression line is negative, then the
linear correlation coefficient less than one.
III: The value of the linear correlation coefficient always lies
between -1 and 1.
IV: A linear correlation coefficient of 0.62 suggests a stronger
linear relationship than a linear correlation coefficient...

Which of the following statements are true of correlation
coefficients?
Group of answer choices
The more negative the number is, the weaker the
relationship.
A correlation coefficient of -0.90 indicates that there is an
inconsistent relationship between the variables.
The closer the coefficient is to 1 or -1, the weaker the
relationship.
A correlation coefficient of 0.05 indicates that there is an
inconsistent relationship between the variables.
Which type of analysis is more flexible than an
independent-samples t-test and allows...

Answer True or False to the statements below.
1) The coefficient of determination measures the variation in
the dependent variable that is explained by the regression
model
2) A student might expect that there is a positive correlation
between the age of his or her computer and its resale value.
3) The variable that is being predicted in regression analysis
is the independent variable.
4) If there is no correlation between the independent and
dependent variables, then the value of...

In regression analysis, a higher correlation between the
dependent variable and the independent variable indicates a higher
estimated slope.

When you are presented with a Pearson’s correlation
coefficient between two variables for which an increase in one
predicts a decrease in the other, and vice versa, the Pearson’s
number will be
zero; the Pearson number is only meaningful if the
variables move in the same direction as one another
close to -1 if the correlation is strong, negative but
near zero if the correlation is weak
close to -1 if the correlation is strong, close to +1
if the...

In a regression
analysis, which of the following statements are true?
I. A residual plot with no pattern indicates a weak linear
relationship.
II. A data point is influential if omitting it from the analysis
gives a very different regression model.
a.
I only.
b.
II only
c.
I and II
d.
Neither statement is
true

In a regression analysis, which of the following statements are
true?
I. A residual plot with no pattern indicates a weak linear
relationship.
II. A data point is influential if omitting it from the analysis
gives a very different regression model.
a.
I only.
b.
II only
c.
I and II
d.
Neither statement is true

Which of the following are true in simple linear regression?
True or False for each
There is only one independent variable (X).
Y is the dependent variable.
The relationship between X and Y is described by a linear
function.
Changes in Y are assumed to be related to changes in X.
X is the independent variable because Y is dependent on X

The slope coefficient (b) measures the ______________ of the
linear relationship between the independent and dependent variable
while the correlation coefficient indicates the _______________ of
the relationship.
a. strength; direction
b. form; strength
c. direction; form
d. strength; form

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