6. Which of these relationships would be better described with a Spearman's rank coefficient thanwith a Pearson's coefficient?a.The association between income and educational attainment (measured in years ofschool)b. The association between hours of sleep and score on an examC. The association between years aged and price of wined.The association between ice cream sales and crime ratese. The association between number on NY Times Best Seller List and copies of book sold

The association between ice cream sales and crime rates. This one relationships would be better…

Answered: 6. Which of these relationships would…

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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Which correlation coefficient would you use to look at the correlation between gender and time spent on the phone talking to your mother? Oa. Kendall's correlation coefficient, T b. Pearson's correlation coefficient, r O c. The biserial correlation coefficient, b O d. The point-biserial correlation coefficient, 'pb
b. When a positive relation exists between two variables, what will be true in the calculation of the Pearson correlation coefficient? Group of answer choices Most deviation scores will be negative. The product of most pairs of deviations will be positive. The prodcut of most pairs of deviations will be negative. Most deviation scores will be positive. c. What is the correlation between a person's weight as measured in grams and a person's weight as measured in pounds? Group of answer choices +1.0 0 -1.0 +0.5 d. Which of these values of the correlation coefficient indicates the weakest relationship between two variables? Group of answer choices -0.30 0.03 -0.18 0.42
V2.b. Find Pearson correlation of following data: A: 10,12,14,16,18,20,22,24,26,28 B: 25.30.28.34,30,39,45,40,49,50
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Refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. Interpret a) the correlation between Internet use and GPD, and b) the correlation between Internet use and the fertility rate. In your interpretations, take into account the direction and strength of the relationship between the variables. Also interpret the correlations correctly with regard to the standardized slope.
State whether the following statement is true or false: “The correlation between shoe size and height, in inches, is 0.7. If height is measured in feet, the correlation is 0.712=0.058, because 12 inches is equal to 1 foot.”
C. The following data represent the average monthly temperatures for Washington, D.C. Month, x Average Monthly Temperature, °F 34.6 37.5 47.2 56.5 66.4 75.6 80.0 78.5 71.3 59.7 49.8 39.4 January, 1 February, 2 March, 3 April, 4 May, 5 June, 6 July, 7 August, 8 September, 9 October, 10 November, 11 December, 12 1) What is the regression equation for the average temperature in Washington, D.C.? 2) Find the predicted value for March of the following year.
:. You read in a recent study that third-graders' ability to solve story problems was correlated to their ability to tie their shoes. The correlation coefficient was reported to be -0.8. Your colleague made the statement that the results indicate that parents should stop teaching their children to tie their shoes until after the third grade. Write a paragraph that explains how your colleague misinterpreted the results of this study. Include a proper interpretation of the correlation coefficient.
For an article in a magazine, 20 different vehicles were selected to obtain data for comparison. From each vehicle the price in dollars, the fuel economy (in miles per gallon), the number of doors, the type of vehicle (car, truck, SUV, other), and if it had all wheel drive or not. a. What are the cases? b. List the variables and identify them as quantitative or categorical.
Identify the reasons the following statements are incorrect. Not all reasons will be used. Researchers found that the correlation between the number of vacation days available per year and the employees' years of employment is r = 0.65 days. The correlation between the advertised selling price of cars and the makes of the cars is r = -0.69. A person's diastolic blood pressure and systolic blood pressure are highly correlated (r = 1.05). The correlation between total daily snowfall in inches and daily low temperatures in degrees Fahrenheit differs from the correlation between daily snowfall in inches and daily low temperatures in degrees Celsius. Answer Bank One of the variables should be categorical. Correlation should depend on units. Correlation should be between-1 and 1. Correlation should be greater than 0. Both variables should be numerical. Correlation should not depend on units.
C) Does the data provide evidence of an association between age and opinion of the band? Justify your answer.

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