Question

Which of the following is false? Correlation coefficient and the slope always have the same sign...

Which of the following is false?

Correlation coefficient and the slope always have the same sign (positive or negative).

If the correlation coefficient is 1, then the slope must be 1 as well.

Correlation measures the strength of linear association between two numerical variables.

If the correlation between two variables is close to 0.01, then there is a very weak linear relation between them.

0 0
Add a comment Improve this question Transcribed image text
✔ Recommended Answer
Answer #1

TRUE , Correlation coefficient and the slope always have the same sign (positive or negative). (sign of correlation shows direction of relationship, which is same as slope)

FALSE, If the correlation coefficient is 1, then the slope must be 1 as well. (there is no such rule)

TRUE , Correlation measures the strength of linear association between two numerical variables. (the magnitude of correlation shows the amount of strength, and the sign shows the direction)

TRUE, If the correlation between two variables is close to \(0.01\), then there is a very weak linear relation between them. (by definition, zero correlation means no linear relationship, and any correlation away from 0 is better than zero.)

Add a comment
Know the answer?
Add Answer to:
Which of the following is false? Correlation coefficient and the slope always have the same sign...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Similar Homework Help Questions
  • Determine whether each of the following statements regarding the correlation coefficient is true or false. The...

    Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.

  • 4) Which of the following statements regarding the correlation coefficient is not true?

    Which of the following statements regarding the correlation coefficient is not true? A) The correlation coefficient has values that range from-1.0 to 1.0 inclusive. B) The correlation coefficient measures the strength of the linear relationship between two numerical variables C) A value of 0.00 indicates that two variables are perfectly linearly correlated D) All of these are true statements

  • Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when...

    Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when both variables are measured on an interval or ratio scale A correlation examines the relation between two variables The Pearson Correlation Coefficient describes the relation between two variables in terms of the strength and direction of the relationship. A correlation implies causation

  • Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between...

    Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.

  • Determine if the following statement is true or false. A correlation coefficient close to 1 is...

    Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...

  • correlation measures the degree to which two variables are related to one another. Here are the...

    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....

  • 1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient...

    1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...

  • Which of the following statements regarding regression and correlation are true? (There may be more than...

    Which of the following statements regarding regression and correlation are true? (There may be more than one correct answer.) a. A value of the linear correlation, r, near -1 means the data is tightly bundled around a line, and predictions within the scope of data are very reliable. b. When the slope of a linear regression equation is near 0, then the linear correlation between the two variables must also be near 0. c. The average error between the actual...

  • True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a...

    True or false: The Pearson's correlation coefficient of +0.4 shows a stronger linear association than a correlation coefficient of -0.4 True or false: If the value of the Pearson's correlation coefficient between two variables is equal to -0.7, it means that 49% of the variability in one variable can be explained by the other.

  • If the slope of the estimated regression line is positive, the correlation coefficient must be negative....

    If the slope of the estimated regression line is positive, the correlation coefficient must be negative. True False

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT