Listed below are heights (in inches) and weights (in pounds) for nine supermodels. Is there acorrelation between height and weight? If there is a correlation, does it mean that there iscorrelation between height and weight of all adult women? (use pearsons r)70.5 6870Height (in) 707070707165105 115Weight (lb)119127113 123117 119115

Claim : there is correlation between height and weight of all adult women.

Answered: Listed below are heights (in inches)…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Income and housing The Office of Federal HousingEnterprise Oversight (www.ofheo.gov) collects data onvarious aspects of housing costs around the UnitedStates. Here is a scatterplot of the Housing Cost Indexversus the Median Family Income for each of the50 states. The correlation is 0.65. a) Describe the relationship between the Housing CostIndex and the Median Family Income by state. b) If we standardized both variables, what would the corre-lation coefficient between the standardized variables be? c) If we had measured Median Family Income in thou-sands of dollars instead of dollars, how would the correlation change?d) Washington, DC, has a Housing Cost Index of 548and a median income of about $45,000. If we were toinclude DC in the data set, how would that affect thecorrelation coefficient?e) Do these data provide proof that by raising the medianincome in a state, the Housing Cost Index will rise asa result? Explain.
State whether the following Scatter plot has: 1- Positive correlation 2- Negative correlation 3 No correlation Next Question
The accompanying table shows the ages (in years) of 11 children and the numbers of words in their vocabu Click here to view the data table. Click here to view the table of critical values for the Pearson correlation cd Data Table O A. OB. Age, x Vocabulary size, y 1 7 84 3000- 을 2400: 1800- 1200 3000- 2400- 1800- 1200- 600- 2 210 6- Q 3 570 4- 4 1100 2- 600- 2200 0- 2600 1500 ó 2 4 6 8 Age (years) 3000 Age (years) 3 550 2100 (b) Calculate the sample correlation coefficient r. 270 4 1200 6 2500 (Round to three decimal places as needed.) Print Done Help Me Solve This View an Example Get More Help - heck 'ocabulary size Vocabulary size Vocabulary size
A personal trainer wanted to know if there was a correlation between the number of trips her clients made to the gym each week and the average amount of time they exercised every visit. Client Number of visits per week Average time spent exercising per visit (hours) 2 1.5 0.30 Based on the above data, estimate the average time spent exercising per visit for 4 visits per week. Select one: a. 10.04 hours b. 0.86 hours c. 1.03 hour d. 2 hours 15 I.
In the past, the average production of employees of a Generation Inc. has been 42,000 units. Recently, the company has been hiring more experienced workers. In order to determine whether there has been an INCREASE in the average production of all the employees, a sample of 36 employees was selected. The average production in the sample was 45,000 units with a standard deviation of 6,000 units. Assume the distribution of the population is normal (Hint: this does not mean that the distribution of the sample mean is normal). Let a = .05. a. State the null and the alternative hypotheses. b. What is the value of the test statistic? What is the p-value? Do you reject the null hypothesis or not? C. d.
Which of the following statements about correlation is true? Question content area bottom Part 1 Choose the correct answer below. A. We say that there is a positive correlation between x and y if there is no distinct pattern in the scatterplot. B. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values decrease. C. We say that there is a positive correlation between x and y if the x-values increase as the corresponding y-values increase. D. We say that there is a negative correlation between x and y if the x-values increase as the corresponding y-values increase
Statistics Question
Baseball owners believe that the more runs scored, the higher the attendance. Is there evidence that more fans attend games if the teams score more runs? Data collected midway through the season indicate a correlation of 0.848 between runs scored and the number of people at games. a) Does the scatterplot indicate that it's appropriate to calculate a correlation? Explain. O A. Yes, because the relationship between number of runs scored and attendance appears to be straight. O B. Yes, because the association between the number of runs scored and attendance is positive. 37500- OC. No, because there are too many outliers for a numerical correlation to be appropriate. 30000- O D. No, because the number of runs scored and attendance are not quantitative variables. b) Describe the association between attendance and runs scored. 22500- 320 360 400 440 480 O A. The association between attendance and runs scored is negative, straight, and moderate. Runs O B. The association between attendance…
Is the correlation about 0.02, 0.22, or 0.92 with the outlier? Without this outlier, is the correlation about 0.18, 0.78, or 0.98? Is the outlier is an influential point to the correlation?
what is the mean of the data set?
The following refer to the following data set: 69.4 63.3 68.4 56.9 81.4 81.4 40.6 79.8 56 81.4 What is the arithmetic mean of this data set? mean = What is the median of this data set? median = What is the mode of this data set? mode =
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…

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