llustration 20.29. A sample of 28 pairs gave a correlation coeffi-cient of 0.40. If 'e' denotes the population correlation, test the hypo-thesis that (i) p=0 and (ii) p=0.30

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Answered: Illustration 20.29. A sample of 28…

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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For each of a number of cities across Canada, the number of people with Cantonese as a mother tongue and the number of people with Mandarin as a mother tongue were rocorded. A scatterplot of the data is shown in the figure below. The correlation between the number of Cantonese speakers in a city aud the number of Mandarin speakers is 0.980. Do you think this correlation is a reasonable summary of the relationship? Why, or why not? (a) If the two largest cities (Toronto and Vancouver) were removed, the correlation would be even higher. (b) No, because there are outliers and/or influential points. (c) Yes, because the relationship is more or less linear. (d) No, because the relationship is clearly curved. (e) Yes, because there are no influential points.
If the correlationr = 0.92 , then the points of the scatter plot do not all lie on a line. Ofalse O true
..Which of the following values could not represent a correlation coefficient? r= 0.98r = 1.09r = -.075r = -1.0
What is the r2value if the obtained correlation is r= 0.70? a. 0.049 b. 0.49 c. 1.40 d. Cannot tell without additional information
Dr. Wright, a researcher at the Young County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = 0.8. The correlation between hours of sunlight and tomato weight is r2 = 0.7. According to this information, which of the following statements are true? Select all that apply. ✓Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from lower soil pH level. ✔Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.
An analyst takes a sample of 10 households and records their weekly consumption expenditure (in RM) and weekly household income (in RM). The Pearson coefficient of correlation between weekly consumption expenditure and weekly household income is found to be 0.9563. Therefore, an increase in the weekly household income causes a very high increase in the weekly consumption expenditure. Select one: O True O False
Choose the value of the Pearson's Correlation Coefficient (r) that best describes the two plots. : 0.504, II: -0.232. 2) I: -0.904, II: 0.232. 3) I: 0.904, II: -0.232. 4) I: -0.232, II: 1.304. 5) I: 0.904, II: -0.632.
If you have a correlation (r=.90), the coefficient of determination would be:
(5) only final answer please
A researcher obtained the following results for a study: n = 44, SSy = 340603, SSx = 33712, B̂ = 2.0025 Find the correlation for these results?
While performing searches on the Internet to find accommodation, Jasmine realized that the cost of a housing unit seems to be related to the number of inhabitants of the municipality where the unit is located. She noted the following data. She represented the data in a scatter plot, where she drew a line of best fit passing through the mean point of the distribution. If Jasmine considers that a linear correlation exists between these two variables, what should be the mean monthly rent of a 4½-room unit in a municipality with a population of approximately 250 000? Justify your answer algebraically.
Suppose the correlation coefficient r=0.16 Find:a. The coefficient of determination r2= (round to 3 decimal places)b. The percentage of explained variation = % (round to 1 decimal place)c. The percentage of unexplained variation = % (round to 1 decimal place)

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Illustration 20.29. A sample of 28 pairs gave a correlation coeffi- cient of 0.40. If 'p' denotes the population correlation, test the hypo- thesis that (i) p=0 and (ii) p=0.30