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

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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
3.5
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?
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…
The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts (a) to (c) below. Full data set D Name Brand Store Brand 20 23 26 24 28 19 21 27 33 28 33 15 29 22 25 17 22 21 22 30 20 26 23 24 25 27 ... (a) Draw side-by-side boxplots for each brand of cookie. Label the boxplots "N" for the name brand and "S" for the store brand. Choose the correct answer below. OA. OB. OC. N- N- N- 10 20 30 40 10 20 30 40 10 20 30 40 (b) Does there appear to be a difference in the number of chips per cookie? O A. Yes. The store brand appears to have more chips per cookie. O B. No. There appears to be no difference in the number of chips per cookie. O C. Yes. The name brand appears to have more chips per cookie. O D. There is insufficient information to draw a conclusion. (c) Does one brand have a more consistent number of chips per cookie? O A. No. Both brands have roughly the same number of chips per cookie. O B. Yes. The…
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of five types of automobile, the linear correlation coefficient is found and the P-value is 0.033. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is nothing%, which is ▼ high, low, so there ▼ is not is sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.

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