For Numbers 32 and 33: Suppose the level of discomfort (on a rating from 1 to 10) of a randomlyselected resident regarding the daily temperature in the given province was obtained. It is ofinterest to determine its association to the daily temperature at the time of the interview.32. An appropriate measure of association isA. Pearson Correlation CoefficientC. Phi CoefficientB. Spearman Rank Correlation Coefficient D. Contingency Coefficient33. Suppose the computed measure of association coefficient is 0.3122, we casay that there isassociation between the level of discomfort and the daily temperature at the timeof the interview.A. weakB. moderateC. strongD. very strong

Solution: Pearson correlation coefficient: The Pearson correlation coefficient is used to determine…

Answered: For Numbers 32 and 33: Suppose the…

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 is a table of the average monthly temperature of Raleigh, North Carolina and a scatterplot of the data, making month into a quantitative variable by designating Jan=1, Feb=2, . . ., Dec=12. calculate the correlation coefficient
2. Consider the following examples; would you expect the correlation coefficient to be close to 1, -1, or 0 (10 points): The amount of time a dog is walked, and the number of hours the dog sleeps at night Outdoor temperature and snowfall. The length of time someone wears braces and their SAT scores. 3. The following graph represents the amount of time that someone studies for their final exam, and their final examination grade (HINT) (20 points). Student 1 Student 2 Student 3 Student 4 Student 5 Student 6 Hours Studied 4 7 11 8 10 8 Final Exam Grade 55% 72% 88% 93% 91% 84% Graph the following students as ordered pairs. Let the x-axis represent the hours studied, and the y-axis represent the students’ final exam grade. Circle the value that best represents the estimate of r: (circle one) -0.99, -0.62, -0.30, 0, 0.30, 0.75, 0.85, 0.99
The ages of the runners in a race and their finishing positions are given in the following table. Assuming x is the finish position and y is the person's age, is there a significant correlation between age and finishing position? Answer Choices Not significant Not one of these Significant at both 5% and 1% Significant at 5% but not 1% Significant at 1%
3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
B). Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. C) Identify the feature of the data that would be missed if part (b) was completed without constructing the scatterplot. Choose the correct answer below. A. The scatterplot reveals a distinct pattern that is a straight-line pattern with positive slope. B. The scatterplot does not reveal a distinct pattern. C. The scatterplot reveals a distinct pattern that is a straight-line pattern with negative slope. D. The scatterplot reveals a distinct pattern that is not a straight-line pattern. Clear
Which of the following is necessary to estimate the population parameter of a Pearson's correlation coeffcient properly? A. A curvilinear relationship B. Nominal Data C. Random sampling D. Ranked scores
6. Which of these relationships would be better described with a Spearman's rank coefficient than with a Pearson's coefficient? a. The association between income and educational attainment (measured in years of school) b. The association between hours of sleep and score on an exam C. The association between years aged and price of wine d. The association between ice cream sales and crime rates e. The association between number on NY Times Best Seller List and copies of book sold
3.If the r value = .913, how do you classify it? Group of answer choices Weak Negative Correlation Strong Negative Correlation Weak Positive Correlation Strong Positive Correlation
2. Which of the following values cannot be a correlation coefficient? Group of answer choices -.274 1.473 -.650 .615
Match the following sample correlation coefficients with the explanation of what that correlation coefficient means. Type the correct letter in each box. 1. r= 1 2. r = -1 3. r=-.15 4. r = .1 A. a weak positive relationship between x and y B. a weak negative relationship between x and y C. a perfect negative relationship between x and y D. a perfect positive relationship between x and y
Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.) х 10 8 13 11 14 4 12 У 9.14 8.14 8.74 8.77 9.25 8.09 6.14 3.11 9.13 7.26 4.74 Click here to view a table of critical values for the correlation coefficient. a. Construct a scatterplot. Choose the correct graph below. ici O A. B. OC. OD. Ay 10- Ay 10- Ay 10- Ay 10- 8- 8- 8- 8- 6- 6- 6- 6- 4- 4- 4- 4- 2- 2- 2- 2- 0- 0+ 0+ 4 0+ 4 12 16 8 12 16 12 16 4 12 16 b. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.) Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below. A. There is insufficient evidence to support the claim of a linear correlation between…
1. Calculate the correlation coefficient 2. How are the fat and sodium contents associated?

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