You calculate a correlation coefficient of -0.8 for the two characteristics of eating a particular fruit and having a particular level of blood cholesterol. What can you conclude? There is not enough information in this question to provide an answer. The more of this fruit you eat, the lower your blood cholesterol will be. There is no correlation between eating this fruit and having a particular level of blood cholesterol. The more of this fruit you eat, the higher your blood cholesterol will be. There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.

You calculate a correlation coefficient of -0.8 for the two characteristics of eating a particular fruit and having a particular level of blood cholesterol. What can you conclude? There is not enough information in this question to provide an answer. The more of this fruit you eat, the lower your blood cholesterol will be. There is no correlation between eating this fruit and having a particular level of blood cholesterol. The more of this fruit you eat, the higher your blood cholesterol will be. There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

A survey was taken in 2018 that asked people about their saving habits. Researchers wanted to know if people who saved more also spent less. The scatterplot below shows their results when comparing two variables: the amount people reported that they put into savings each month, and the amount they reported that they spent on clothes. The researchers found the correlation coefficient for this data to be -0.239. Which of the following is true about these variables? a. There is no relationship between savings and money spent on clothes each month.b. There is a weak, positive linear relationship between savings and money spent on clothes each month.c. There is a perfect, negative linear relationship between savings and money spent on clothes each month.d. There is a weak, negative linear relationship between savings and money spent on clothes each month.
A random sample of college students was surveyed about how they spend their time each week. The scatterplot below displays the relationship between the number of hours each student typically works per week at a part- or full-time job and the number of hours of television each student typically watches per week. The correlation between these variables is r = –0.63, and the equation we would use to predict hours spent watching TV based on hours spent working is as follows: Predicted hours spent watching TV = 17.21 – 0.23(hours spent working) Since we are using hours spent working to help us predict hours spent watching TV, we’d call hours spent working a(n) __________________ variable and hours spent watching TV a(n) __________________ variable. The correlation coefficient, along with what we see in the scatterplot, tells us that the relationship between the variables has a direction that is _________________ and a strength that is ______________________. According to the…
Choose the letter of the correct answer to the question 1. You are told that there is a high inverse association between the variables “ amount of exercise" and " incidence of heart disease ". A correlation coefficient consistent with the given statement is: A. r= 0.8 B.r= 0.2 C.r= -0.2 D.r= -0.8 2. Which among the given correlation coefficients shows the highest strength of association between variables? C.0.1 В. -0.95 А. -1.0 D. 0.88 3. If the relationship between x and y is positive, as variable y decreases, variable x: B. decreases A. increases C. remains the same D. equals zero 4. Of the following measurement levels, which is required for the valid calculation of the Spearman correlation coefficient? A. nominal B. ordinal C. interval D. ratio 5. Professor Bill obtained a correlation of -0.85 between body weight and IQ. This means that: A. Obesity decreases intelligence. B. Heavy people have higher IQs than light people. C. People with high IQs are likely to be light. D.…
A negative correlation indicates that as the values of one variable increase, the values of a second variable decrease. O True O False
You have a theory: people who have a high income (X) are generally healthier (Y). You collect some data from local nursing homes and retirement homes and find no linear correlation between income and health. Of the 4 correlation mistakes we discussed in class, which one is the most likely here? Why? A supplements company conducted a study and found a strong positive relationship between use of its supplements and health. It advertised that it found a correlation coefficient of +1.25. What is wrong with this statement?
What is another possible explanation for this correlational relationship? Since this is just a correlation, we can’t be sure if age causes changes in your field goal percentage. So, what is one possible other explanation that you can come up with for the correlation that you calculated (hint: think about possible "third variable" explanations for this correlation---what other variables or factors might be causing changes in both x and y that could explain this correlation?).
The older that an adult tends to be before deciding to get married, the longer the person's marriage tends to last. What type of correlation exists between age of marriage and the number of years the marriage lasts? A. positive B. negative
The results from a research study indicate that adolescents who watch more violent content on television also tend to engage in more violent behavior than their peers. The correlation between amount of TV violent content and amount of violent behavior is an example of Question 25 options: a positive correlation a negative correlation a correlation near zero a correlation near one
Define and distinguish among positive correlation, negative correlation, and no correlation. How do we determine the strength of a correlation? A. positive correlation means that both variables tend to increase (or decrease) together B. positive correlation means that two variables tend to change in opposite directions, with one increasing all the other decreases. C. positive correlation means that there is no apparent relationship between the two variables. D. positive correlation means that there is a good relationship between the two variables.
As temperature decreases, rates of crime also seem to decrease. Which of the following Pearsons R values represents the strongest possible correlation between these two variables?" -0.5 -1 0.5 1
4. Put the r-values in order from the weakest to strongest correlation. r = -0.90 r = 0.050 r = 0.80 r = -0.72 r= 0.45 r= -0.88 r = 0.97
Based on the image attached, it shows a scatterplot of daily coffee consumption vs. IQ level. Based on the given scatter diagram, choose the correct statement. a. It is a no correlation. The amount of an individual consumes daily consumption has no correlation with his/her IQ level. b. It is a positive correlation. The more amount of an individual consumes daily consumption, the lower their IQ level to be. c. It is a negative correlation. The more amount of an individual consumes daily consumption, the lower their IQ level to be. d. It is a negative correlation. The more amount of an individual consumes daily consumption, the higher their IQ level to be. e. It is a positive correlation. The more amount of an individual consumes daily consumption, the higher their IQ level to be.

Recommended textbooks for you

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability (10th Edition)

Probability

ISBN:

9780134753119

Author:

Sheldon Ross

Publisher:

PEARSON

A First Course in Probability

Probability

ISBN:

9780321794772

Author:

Sheldon Ross

Publisher:

PEARSON

SEE MORE TEXTBOOKS

GET THE APP

About FAQ Academic Integrity Sitemap Document Sitemap

Contact Bartleby Contact Research (Essays)High School Textbooks Literature Guides Concept Explainers by Subject Essay Help Mobile App

GET THE APP

Privacy

Your CA Privacy Rights

Your NV Privacy Rights

Cookie Policy

About Ads

Manage My Data

bartleby, a Learneo, Inc. business

		There is not enough information in this question to provide an answer.
		The more of this fruit you eat, the lower your blood cholesterol will be.
		There is no correlation between eating this fruit and having a particular level of blood cholesterol.
		The more of this fruit you eat, the higher your blood cholesterol will be.
		There is a correlation between eating this fruit and having a particular blood cholesterol, but the value of 0.8 is too low to draw any conclusions.