L4Q3.Find out the correlation that can be observed in the following data: Find out the correlation that can be observed in the following data:Year1990 2000 2007Population 1509 2141(thousands)2008 2009 2010 2011 20122769 2960 3000 3058 31182813O Strong positive correlationWeak positive correlationO Strong negative correlationO No correlation

Answered: Find out the correlation that can be…

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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An economist wants to determine whether there is a linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. The data are shown in the table below. c. Compute and interpret the correlation coefficient. d. Compute and interpret the coefficient of determination. e. Test for the significance of the linear relationship. Use a 0.05 level of significance. State your conclusion. Hint: Your conclusion is either of the following. • There is a significant linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. • There is no significant linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. GDP 1.6 3.6 4.9 1.1 0.9 2.9 2.7 2.3 1.6 1.5 (trillion dollars) Carbon Dioxide Emissions 428.2 828.8 1214.2 444.6 264 415.3 571.8 454.9 358.7 573.5 (millions of metric tons)
Which of the following best describes the Pearson correlation for these data?
A history instructor has given the same pretest and the same final examination each semester. he is interested in determining if there is a relationship between the scores of the two tests. he computes the linear correlation coefficient and notes that it is 1.15. what does the correlation coefficient value tells the instructor? a. there is a strong positive correlation between the test b. there is a strong negative correlation between the test c. the history instructor has made a computational error d. the correlation is something other than linear
What is the coefficient of correlation given this data: X = 61, 62, 95, 71, 49 Y = 32, 47, 107, 77, 41 Please format to 2 decimal places.
Here is a scatterplot. Give an estimate for the correlation coefficient r and explain how you made your choice.
Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age
Which data has. A stronger linear correlation? Data 1 with an r= 0.7 or data 2 with an r= -0.8? Why?
Suppose data are collected concerning the weight of a person in pounds and the number of calories burned in 30 minutes of walking on a treadmill at 3.5 miles per hour. How would the value of the correlation coefficient, r, change if all of the weights were converted to kilograms?
A negative correlation means that decreases in the X variable tend to be accompanied by decreases in the Y variable. T or F
Listed below are amounts of court income and salaries paid to the town justices. All amounts are in thousands of dollars. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between court incomes and justice salaries? Based on the results, does it appear that justices might profit by levying larger fines? Court Income 64.0 |403.0 1567.01130.0 274.0 253.0 112.0 156.0 31.0 Justice Salary 30 44 90 58 46 62 25 26 19 J0- JUT 0- 0- 0- 0- 1600 800 Court Income 1600 800 Court Income 1600 800 1600 800 Court Income Court Income The linear correlation coefficient r is 0.8654 (Round to three decimal places as needed.) The test statistic t is (Round to three decimal places as needed.) The P-value is. (Round to three decimal places as needed.) Because the P-value is V than the significance level 0.05, there sufficient evidence to support the claim that there…
L4Q6.What correlation can be observed between x and y in the given figure?
The following table shows the approximate number of wireless telephone subscriptions in recent years.

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Find out the correlation that can be observed in the following data: Year 1990 2000 2007 2008 2009 2010 2011 2012 1509 2141 2813 2769 2960 3000 3058 3118 Population (thousands) O Strong positive correlation O Weak positive correlation O Strong negative correlation No correlation