CORRELATION PROBLEMThe paper "A Cross-National Relationship BetweenSugar Consumption and Major Depression?" (Depressionand Anxiety [2002]: 118–120) concluded that there was acorrelation between refined sugar consumption (caloriesper person per day) and annual rate of major depression(cases per 100 people) based on data from 6 countries.The following data were read from a graph that appearedin the paper:SugarConsumption RateDepressionCountryKorea1502.3United States3003.0France3504.4Germany3755.0Canada3905.2New Zealand4805.7a. Compute and interpret the correlation coefficient forthis data set.b. Is it reasonable to conclude that increasing sugarconsumption leads to higher rates of depression? Explain.c. Do you have any concerns about this study that wouldmake you hesitant to generalize these conclusions to othercountries?

The association between the two numerical variable can be measured using correlation. The…

Answered: CORRELATION PROBLEM The paper "A…

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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Interpret and discuss the results for each table, given ? = ?. ??
3.24: The data in the accompanying table are from the Organization for Economic Co-operation and Development (data.oecd.org/eduatt/population-with-tertiary-education.htm, retrieved February 18, 2018). Entries in the table are the percentage of 25- to 34-year-old people who have completed a 4-year college degree for 27 countries in 2016. Country Percentage of people age 25 to 34 with 4-year degree Country Percentage of people age 25 to 34 with 4-year degree Australia 49.3 Italy 25.6 Austria 39.7 Japan 60.1 Canada 60.6 Mexico 21.8 Colombia 28.1 New Zealand 43.4 Costa Rica 28.9 Norway 48.6 Czech Republic 32.6 Poland 43.5 Denmark 45.9 Portugal 35.0 Finland 41.1 Spain 41.0 France 44.0 Sweden 47,.2 Germany 30.5 Switzerland 48.8 Greece 41.0 Turkey 30.5 Hungary 30.4 United Kingdom 52.0 Iceland 43.3 United States 47.5 Israel 47.4…
Can you please help me on 7 and 8?
There is a strong correlation between the number of students graduating from SVS and the population of squirrels in York Region. The most likely type of causal relationship is:A.cause and effect B.accidental C.presumed D.reverse cause and effect
Subject: ste
A group of university researchers wanted to determine the relationship that exists between the number of hours spent by a student in social media in a day (X) and their grade weighted average (Y). Twelve randomly selected students produced the following findings: Number of GWA Hours 4.0 95 8.0 85 87 89 91 85 89 86 84 96 82 85 7.0 6.5 5.5 9.0 4.0 10.0 7.5 2.0 12.0 9.0
The accompanying data represent the total compensation for 12 randomly selected chief executive officers (CEO) and the company's stock performance in a recent year. Complete parts (a) through (d) below. (a) One would think that a higher stock return would lead to a higher compensation. Based on this, what would likely be the explanatory variable? A.Stock return B.Compensation (c) Determine the linear correlation coefficient between compensation and stock return. r=____? (Round to three decimal places as needed.)
A paper concluded that there was a correlation between refined sugar consumption (calories per person per day) and annual rate of major depression (cases per 100 people) based on data from six countries. The following data were read from a graph that appeared in the раper. Sugar Consumption Depression Rate Country Korea 160 2.4 United States 290 3.1 France 360 4.3 Germany 365 4.9 Canada 380 5.3 New Zealand 470 5.6 n USE SALT (a) Calculate the correlation coefficient for this data set. (Round your answer to four decimal places.) r = 0.9428 Interpret the correlation coefficient for this data set. O There is a weak, positive linear relationship between depression rate and sugar consumption. O There is no linear relationship between depression rate and sugar consumption. O There is a strong, negative linear relationship between depression rate and sugar consumption. O There is a weak, negative linear relationship between depression rate and sugar consumption. O There is a strong, positive…
2.1 The Australian Bureau of Statistics (ABS) has recently released a report on the relationship between international students’ ethnicity and enrolments in higher education. Identify the dependent variable(s) and the independent variable (s) in the above scenario.
4.A corporation imposes different price increases on its product in eight different regions of the country and measures over the next year changes in sales volume. The results are shown in the accompanying table. Change in 6 5 4 7 7 10 8 Price (Percentage) Change in 5.2 7.3 7.4 4.6 5.3 5.0 -1.0 2.9 Sales (Percentage) a. Find correlation coefficient between change in price and change in sales and test it whether it is statistically significant at 0.05 significance level. b. Determine which variable is dependent variable and which variable is independent variable based on the original variables, estimate the regression model and interpret the model. c. Run hypothesis testing at 0.05 signi ance level whether the egression coefficient bị is statistically significant or not. d. Calculate R2 value and interpret the result e.Predict the dependent variable value when independent variable is 4.8 and interpret the result.
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support Correlation Results the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…
A materials engineer wants to understand the relationship between the strength of plastic cases and the temperature at which the strength measurements were made. The engineer collects several samples from the manufacturer and records the following observations. Using the data below and what you have learned in Forecasting, determine the following (use four decimal places for values): 1) Which is the explanatory variable? 2) What would be the value of the coefficient of correlation between the two variables? 3) What would be the complete interpretation of the relationship between the two variables (consider sign and value)?

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