3. Some sports psychologists believe that an athlete'smotivation is related to how many hours they will devote totraining in a 2-week period. To see if this is true, a sportstrainer measures the motivation (M) and training hours(TH) of a random sample of 8 Olympic-class athletes andobtains the following data:MTH574074464238483675546242665765506925a) Is there a significant correlation between M and TH in thissample (a≤.05)? (8 points)b) If another athlete obtained an M score of 70, what would hisor her predicted TH score be and what are the 90% bounds tothe error of this prediction? (10 points)

Answered: Image /qna-images/answer/eb24a3dc-e54e-4939-8e51-d78493a28b68.jpg

Answered: 3. Some sports psychologists believe…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

. The table below lists the number of minutes the last 10 customers to call a company waited on hold for technical support over the phone. Describe the central tendency of the data in two different, and appropriate, ways Minutes on Hold 17 8 10 20 16 5 18 12 15 6
the following table lists democrats spending thousands of dollars by statewide office and the percentage of the popular vote they received in their districts Spending:11.5 | 51.1 | 17.9 | 4.9 | 12.9 | 20.5 | 76.4 Percent:33.4 | 12.8 | 61.2 | 50.2 | 78.1 | 14.1 |49.9 does a sting linear correlation exist between democratic spending and a % of voters received, if so how and answer a. Find a regression model ax+b for percentage of votes received as a function of democratic spending b. If a democratic politician spent $60,000 on a campaign, what % of the vote should be expected to receive? Is it interpolation or extrapolation, why? c. If a democrat received a quarter of the votes, what would you expect the democrat to have spent?
Suppose a researcher is interested in examining the relationship between a person 's age and whether he or she likes the taste of cilantro. She collects a sample of n- 10 people and asks them whether they like the taste of cilantro. The following table summarizes the results. Does not like Cilantro Does like Cilantro 18 years old 2 18+ years old 3 The researcher wants to calculate the correlation between a person 's age and whether he or she likes the taste of cilantro. To do so, you (the researcher) must first create a table of the data by converting each variable to a numerical value. Assign a 0 to "< 18 years old" and 1 to "18+ years old." Then assign O to "does not like the taste of cilantro" and a 1 to " likes the taste of cilantro." Complete the top two rows of the your (the researcher's) data. Age (0 is <18; 1 is 18+) Likes the taste of Cilantro (0 is no; 1 is yes) a) ob) 1 a) Ob) 1 a) ob) 1 a) Ob) 1 1 1 1 1 1 1 1 The phi-coefficient is a) -0.09 b) -0.16 c) -0.20 d) 0.80
A researcher wants to determine if the number of years of education for a parent correlates with the number of years of education for their child. The table shows the number of years of education of the parent and the number of years of education of their child for a random sample of 7. Years of Education of Parent 13 9 12 10 12 10 12 Years of Educations of their Child 15 11 10 16 17 12 17 Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. Use α = 0.05. What is the critical value for this hypothesis test? A researcher wants to determine if the number of years of education for a parent correlates with the number of years of education for their child. The table shows the number of years of education of the parent and the number of years of education of their child for a random sample of 7. Years of Education of Parent 13 9 12 10 12 10 12 Years of Educations of their Child 15 11 10 16 17 12 17…
The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. Using technology, what is the correlation coefficient? O -0.997 O -0.503 Welght () 12 18 24 30 32 35 37 40 O 0.503 O 0.997 Height ty) 22 23 26 30 32 33 35 36 30 Mark this and retum Save and Exit Next Submit % 7 8. 9. y
3.10 The survey on student attitude toward e-books described in Exercise 3.5 was conducted in 2011. A similar survey was also conducted in 2012 (The Chronicle of Higher Education, August 23, 2013). Data from 1588 students who participated in the 2012 survey are summarized in the accompanying table. Response Percentage in This Category Strongly disagree 19.1 Disagree 27.5 Agree 26.3 Strongly agree 16.0 Don't know 11.1 a. Use these data and the data from Exercise 3.5 to construct a comparative bar chart that shows the distribution of responses for the two years. (Hint: See Example 3.1.) b. Based on your graph from part (a), do you think there was much of a change in attitude toward e-books from 2011 to 2012?
A department store sells a broad range of household products and offers a low-cost breakfast in its store restaurants to at Customers Buying Customers Buying e Breakfast Make an assessment about the correlation in part (b). Choose the correct answer below. Day Household Items O A. The correlation in (b) is misleading since the relationship between the data points is not linear. Monday 76 57 O B. The correlation in (b) is misleading since there is a single outlier in the data. Tuesday 50 42 Wednesday Thursday Friday 57 27 O C. The correlation in (b) is misleading since the variables are not quantitative. 79 56 O D. The correlation in (b) is statistically sound since both variables are quantitative and the relationship is linear. 85 35 Make an assessment about the correlation in part (c). Choose the correct answer below. Saturday 298 287 Sunday 245 223 O A. The correlation in (c) is misleading since there is always a perfect straight line between two data points. O B. The correlation in…
3.5
11) a) Create a scatterplot for the following data comparing the number of employees working at Leon's Pet Rock Shoppe and the total time it takes to do inventory: Inventory time Employees (in hours) 2 5 10 4 Time 2 7 3 3 Employees b) Is this an example of a strong positive correlation, a strong negative correlation, or a very weak correlation?
The following table lists democrats spending thousands of dollars by statewide office and the percentage of the popular vote they received in their districts Spending:11.5 | 51.1 | 17.9| 4.9| 12.9 | 20.5 | 76.4 Percent:33.4 | 12.8 | 61.2 | 50.2 | 78.1 | 14.1 |49.9 does a sting linear correlation exist between democratic spending and a % of voters received, if so how and answer a. Find a regression model ax+b for percentage of votes received as a function of democratic spending b. If a democratic politician spent $60,000 on a campaign, what % of the vote should be expected to receive? Is it interpolation or extrapolation, why? c. If a democrat received a quarter of the votes, what would you expect the democrat to have spent?
1)After training, six workers underwent a test and later measured the productivity of each of them. From the re- results presented in the table beside, calculate the correlation coefficient between the test score and the productivity.
1.) The data in the table below show years of teaching experience and annual salary in dollars for 12 randomly selected mathematics instructors in Illinois colleges/ universities for the 2013/2014 school year. Is there a linear correlation between a mathematics instructor’s years of experience and his or her annual salary? Number of Years 7 9 6 7 11 12 11 3 3 7 9 1 Salary (in Dollars) $48,897.00 $62,866.00 $54,585.00 $56,611.00 $53,541.00 $53,541.00 $47,027.00 $47,970.00 $46,668.00 $48,029.00 $46,735.00 $45,000.00 THE OTHER QUESTION 2.) Does incubation or gestation time affect an animal’s average lifespan? Some animals have lifespans that average well over 100 years. The following table lists animals that have some of the longest lifespans on the earth. Is there a correlation between an animal’s gestation/incubation period and its average lifespan in years? Animal: Nile crocodile, Aldabra giant tortoise, Lake sturgeon, Galápagos tortoise, Bowhead whale Average Lifespan (in…

SEE MORE QUESTIONS

Recommended textbooks for you

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

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

SEE MORE TEXTBOOKS