Question

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 the researcher to compare more than 2 group means?

Group of answer choices

ANOVA

Linear regression

Repeated-measures t-test

Chi-square

When study results are significant, this means the __________ hypothesis has been __________.

Group of answer choices

alternative; rejected

null; accepted

experimental; rejected

null; rejected

Answer #1

From the aove information

Which of the following statements are true of correlation coefficients

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 the researcher to compare more than 2 group means

The correct option is

ANOVA

When study results are significant, this means the

hypothesis has been

The correct option is

null; rejected

correlation measures the degree to which two variables are
related to one another.
Here are the definitions of the three possibilities:
Positive correlations: In this type of
correlation, both variables increase or decrease at the same time.
A correlation coefficient close to +1.00 indicates a strong
positive correlation.
Negative correlations: This type of
correlation indicates that as the amount of one variable increases,
the other decreases (and vice versa). A correlation coefficient
close to -1.00 indicates a strong negative correlation....

Which of the following is a FALSE statement of the correlation
coefficient?
Select one:
a. The closer the value of the correlation coefficient is to
negative one, the weaker the relationship between the returns on
the two securities.
b. The closer the absolute value of the correlation
coefficient is to zero, the weaker the relationship between the
returns on the two securities.
c. Positive correlation coefficients imply that the returns on
Security A tend to move in the same direction...

Answer each of the following as True or False:
In a linear correlation testing, any positive value for the
linear correlation coefficient (r) statistic always indicates a
positive correlation between the two variables.
The chi-square test for independence is similar to a
correlation in that it evaluates the relationship between two
variables.
It is impossible to obtain a value less than zero for the
chi-square statistic, unless a mistake is made.
In a two-sample t-test, it makes a difference which...

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...

Relationship between two variables can be examined using the
following:
Group of answer choices
Scatter plot
2 by 2 contingency table
Correlation coefficient
All of the above

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....

Which of the following statements is FALSE?
Group of answer choices
Older men tend to have lower muscle density. Hence, the
correlation between “age” and “muscle density” in older men must be
negative.
Older children tend to be taller than younger children. Hence,
the correlation between “age” and “height” in children must be
positive.
A researcher finds the correlation between two variables is
close to 0, so the two variables must be strongly related.
Taller people tend to be heavier...

Choose
ALL correct statements about the
correlation coefficient.
Group of answer choices
It measures the extent to which two random variables move
together.
The values range between -∞ to +∞ .
A value of +1 implies that the returns for the two stocks move
together in a completely linear manner.
A value of 0 implies that the returns move in a completely
opposite direction.

A. CHECK ALL THAT ARE CORRECT: The t-distribution is
Group of answer choices
flatter and more spread out than the normal distribution
closer to the normal distribution when df is very high
closer to the normal distribution when df is very low
more positively skewed than the normal distribution
B. In the context of a one-sample t-test, what is the
estimated standard error, sm, for a sample size of n = 4
with s2 = 16?
c. For a one...

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