Question

Correlation and regression are concerned with: a. the relationship between two qualitative variables b. the relationship...

Correlation and regression are concerned with:

a. the relationship between two qualitative variables

b. the relationship between two quantitative variables

c. the relationship between a qualitative and quantitative variable

d. none of the above

e. all of the above

Homework Answers

Answer #1

in statistics, correlation denotes association between two quantitative variables.

In this case , We assume that the association is linear.

If one variable increases or decreases then other variable increase or decrease as following type

correlation in the same direction is known as a positive correlation. If one variable increases the other also increases and when one variable decreases the other also decreases.

And if one variable increases other decreases then correlation will be of negative type .

conclusion- option (b) is correct.

Please like??

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine whether each of the following statement is true or false. (a) The variables A and B are categorical. (b) The correlation coefficient tells us whether A or B is the explanatory variable. (c) If the correlation coefficient is positive, then lower values of variable A tend to correspond to lower values of variable B. (d) If the correlation between A and B is r...
The strength of the relationship between two quantitative variables can be measured by the y-intercept of...
The strength of the relationship between two quantitative variables can be measured by the y-intercept of the simple linear regression equation. the slope of a simple linear regression equation. both the coefficient of correlation and the coefficient of determination. the coefficient of determination. the coefficient of correlation.
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means...
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means that as one variable increases, the second variable increases too. A negative correlation means that as one variable increases, the second variable decreases, or as one variable decreases, the second variable increases. Positive and negative correlations exists in nature, science, business, as well as a variety of other fields. Please watch the following video for a graphical explanation of the correlation coefficient: For Discussion...
  A statistical measure of the association between two variables is called a   independent variable b.   correlation...
  A statistical measure of the association between two variables is called a   independent variable b.   correlation coefficient c.   dependent variable d.   placebo e. control variable
Correlation is a visual method for determining the relationship between two variables... including linear, curve linear,...
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
A coefficient of correlation of -0.9 indicates the relationship between the two variables is (a) weak...
A coefficient of correlation of -0.9 indicates the relationship between the two variables is (a) weak and negative (b) strong and positive (c) strong and negative
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation...
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 is a measure of association between two variables? a. covariance b. correlation...
Which of the following is a measure of association between two variables? a. covariance b. correlation coefficient c. coefficient of determination d. options a), b) and c) are all correct e. options a), b) and c) are all incorrect
If you find a Pearson's correlation of zero between two continuous variables, this means: A. There...
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
Which statement explains why correlation could be 0 even if a strong relationship between two variables...
Which statement explains why correlation could be 0 even if a strong relationship between two variables existed? Group of answer choices Since the correlation is 0, there is no strong relationship between the two variables; and a scatterplot would be misleading. Correlation can be 0 even if there is a strong linear relationship between the variables. Correlation only measures the strength of the relationship between two variables when the units of the two variables are the same. Correlation does not...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT