Question

**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 correlation is weak****close to +1 if the correlation is strong, positive but near zero if the correlation is weak**

**The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a ratio-level dependent variable is****linear regression****logistic regression****Kaplan-Meier analysis****factor analysis**

**The statistical procedure used to estimate the time until a death or other “endpoint” occurs, based on group membership or condition, is called****linear regression****logistic regression****Kaplan-Meier analysis****factor analysis**

**The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a nominal, dichotomous dependent variable is**

**linear regression****logistic regression****Kaplan-Meier analysis****factor analysis****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 correlation is weak****close to +1 if the correlation is strong, positive but near zero if the correlation is weak**

**The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a ratio-level dependent variable is****linear regression****logistic regression****Kaplan-Meier analysis****factor analysis**

**The statistical procedure used to estimate the time until a death or other “endpoint” occurs, based on group membership or condition, is called****linear regression****logistic regression****Kaplan-Meier analysis****factor analysis**

**The statistical procedure used to define which of a list of independent or “predictor” variables has an impact on a nominal, dichotomous dependent variable is**-
**linear regression****logistic regression****Kaplan-Meier analysis****factor analysis**

Answer #1

1. The pearson correlation coefficient will be negative as there is a negative association between the variables. It will be close to -1 if the correlation is strong and close to 0 if weak.

**Correct option: B)**

2. Linear regression is used to find whether a list of
independent variables have an inpact on a dependent variable.

**Correct option: A)**

3. Kaplan-Meier analysis is used to estimate the survival
function from lifetime data based on conditions.

**Correct option: C)**

4. If the dependent variable is nominal or dichotomous, we use logistic regression for the same.

**Correct option: B)**

Correlation is a visual method for determining the relationship
between two variables... including linear, curve linear, strong,
weak, positive, negative, and no relationships. The correlation
coefficient is a mathematical reflection of that relationship.
Regression analysis is the same thing as the correlation
coefficient. True or False

Suppose the correlation coefficient between two variables is
found to be 0.83. Which of the following statements are true?
small values of one variable are associated with large values of
the other variable
the relationship between the variables is weak
a scatter plot of the points would show an upward trend
low values of one variable tend to be paired with low values of
the other variable
there is a strong positive curvilinear relationship between the
variables
there is a...

A regression analysis is a statistical assessment of the
association between two variables, one of which is dependent and
the other, independent. The dependent variable is y and the
independent variable is x. Regression analysis is used to find the
relationships between these variables. Variables within a
regression analysis can be negatively correlated or positively
correlated.
A situation in which one could model a regression analysis could
be the association of hours studied and a grade on a test. The...

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....

A hypothesis test using a Pearson’s correlation coefficient is
an example of what?
A nonparametric statistic
A descriptive statistic
An inferential statistic
A power statistic
1 points
QUESTION 48
What would the scatter plot show for data that produce a Pearson
correlation of r = +0.88?
Points clustered close to a line that slopes down to the
right
Points clustered close to a line that slopes up to the right
Points widely scattered around a line that slopes up...

A value of -1 for the coefficient of correlation between two
variables means that the two variables are ________________.
a)somewhat strongly related
b)weakly related
c)perfectly related
d)very weakly related
e)not related at all
2) If the correlation coefficient between variables X
and Y is roughly zero, then ______.
a)Y is independent of X
b)Y is dependent on X
c)there is a linear correlation between Y and
X
d)Y is not necessarily independent of X
e)Y is caused by X.
3)...

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....

MBA 5008 Quantitative Analysis The question presented to me
which I dont fully understand and requesting assitance in
answering.
When developing a simple regression model one utilizes a method
to predict a linear relationship between a dependent variable and
an independent variable.
However, there may be more than one independent variable that
affect the dependent variable. In this case we utilize the multiple
regression method.
1. Describe the objective in using simple and or multiple
regression models.
2. What does...

1. In a correlation analysis, you calculate an R value of
-0.006. You run a significance test and find that this result is
not significant. Which of the following BEST describes the
relationship between the two variables?
a.
there is a weak, negative relationship between the
variables
b.
there is a logarithmic relationship between the variables
c.
there is a strong, negative relationship between the
variables
d.
there is basically no relationship between the variables
2. Correlation and regression are...

If you find a Pearson's correlation of zero between two
continuous variables, this means:
A. There is no relationship between the two variables
B. There is a strong relationship between the two variables
C. There may be a non-linear relationship between the two
variables
D. Two of these answers are correct

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