MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
expand_more
expand_more
format_list_bulleted
Question
Q17. A medical study found a negative relationship between exercise [in minutes per week] and stress-related health problems [r = -.26]. Answer the questions below. \textit{Hint}Hint: See Q16.
17a. Which of the following conclusions is appropriate?
a. Of the variance in stress-related health problems, 6.76% can be explained by the amount of weekly exercise.
b. Increasing the amount of exercise per week will cause stress-related health problems to decrease.
17b. Explain why the other is not appropriate.
a. The correlation is negative, so we can conclude that it is the exercise that is causing the reduction in stress-related health problems, and not that a reduction in stress-related health problems will increase exercise.
b. That variations in exercise account for 6.76% of the variance in stress-related health problems is cause for celebration.
c. Correlations do not demonstrate causation
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
This is a popular solution
Trending nowThis is a popular solution!
Step by stepSolved in 2 steps with 2 images
Knowledge Booster
Similar questions
- What does it mean when you have standard deviations of 27 35 and 32 and its effect on the validitity of the data you are accessing to interpret for statistical anaylsis?arrow_forwardReconsider the partial & part correlations for this scenario: SEE IMG_9788.jpg Which of the following options provides the best interpretation of the part correlation for Anxiety Score? A) Anxiety Score explains an additional 5.7% (rpart2 = .2392 = .057) of the variation in depression score, over and above that explained by the other predictors B) Anxiety Score explains an additional 23.9% (rpart = .239) of the variation in depression score, over and above that explained by the other predictors C) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a moderate, positive, linear relationship between Anxiety Score and depression score (rpart = .239) D) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a very weak, positive, linear relationship between Anxiety Score and depression score (rpart = .239)arrow_forwardIn 2014 the combined scores of all college-bound senior taking the SATs were approximately Normal with mean 1010 and standard deviation approximately 218. What percentage of all college-bound seniors had scores higher than 820?arrow_forward
- What percent of cases fall more than 1.5 standard deviations away from the mean?arrow_forwardThe article "Well-Fed Crickets Bowl Maidens Over"† reported that female field crickets are attracted to males that have high chirp rates and hypothesized that chirp rate is related to nutritional status. The chirp rates for male field crickets were reported to vary around a mean of 60 chirps per second. To investigate whether chirp rate is related to nutritional status, investigators fed male crickets a high-protein diet for 8 days and then measured chirp rate. The mean chirp rate for the crickets on the high-protein diet was reported to be 101 chirps per second. Is this convincing evidence that the mean chirp rate for crickets on a high-protein diet is greater than 60 (which would then imply an advantage in attracting the ladies)? Suppose that the sample size and sample standard deviation are n = 32 and s = 40. You can test the relevant hypotheses to answer this question. A significance level of ? = 0.01 will be used. a) State the null and alternative hypotheses. H0: ? =…arrow_forwardA researchers says that 50% of the variance in blood pressure can be predicted from HR and that blood pressure is postively associated with HR. What is the correlation between blood pressure and HR?arrow_forward
- The mean waiting time for non-emergency surgeries in your hospital is 87.5 days with astandard deviation of 14 days. Over the last year the hospital’s CEO has beenimplementing various programs to try to reduce the waiting time. You are asked to testwhether the wait times have changed from the previous average. Not knowing if thewait times have increased or decreased, you hypothesize that the wait times are not 87.5days. You randomly select 100 cases and calculate the average wait time, which is 84days. Use ?= 0.05arrow_forwardI will send the rest of question in a bit because of your guidelinesarrow_forwardReconsider the partial & part correlations for this scenario: SEE IMG_9788.jpg Which of the following options provides the best interpretation of the part correlation for Anxiety Score? ONE CORRECT ANSWER ONLY A) Anxiety Score explains an additional 5.7% (rpart2 = .2392 = .057) of the variation in depression score, over and above that explained by the other predictors B) Anxiety Score explains an additional 23.9% (rpart = .239) of the variation in depression score, over and above that explained by the other predictors C) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a moderate, positive, linear relationship between Anxiety Score and depression score (rpart = .239) D) When all the other predictors (age, gender and anxiety score) are statistically controlled, there is a very weak, positive, linear relationship between Anxiety Score and depression score (rpart = .239)arrow_forward
arrow_back_ios
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman