Q.5: If the correlation coefficient is 0.840, what is the unexplained variation?A) 36.0%B) 16%C) 84%D) 72.5%Q.6: A grocery store owner claims that the mean amount spent per checkout is less than $47. A test is madeof Ho: μ = 47 versus H₁: μ< 47. The null hypothesis is not rejected. State the appropriate conclusion.A) The mean checkout amount is less than $47.B) There is enough evidence to conclude that the mean checkout price is less than $47.C) There is not enough evidence to conclude that the mean checkout price is less than $47.D) The mean checkout amount is greater than $47.

Q. 5 is based on correlation concept. Q. 6 is from testing of hypothesis. The given test is left…

Answered: Q.5: If the correlation coefficient is…

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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Use the data below taken from a random sample of adults, and the a = 0.01 level of significance, to determine whether or not there is a significant, positive linear correlation between the length of a person's arm and the amount of money they contribute annually to charity. Which would be correct hypotheses for this test? Sample Data: Ho: p= 0; H₁: p=0 Ho p= 0; H₁: p > 0 Ho : μ = 0; H1 :μ > 0 Ho: p = 0; H₁: p<0 Arm length (cm) Charitable Giving ($) 199 368.6 202 348.74 209 358.41 200 356.72 199 350.71 202 213 193 198 207 208 195 .627 What is the Pearson Correlation Coefficient for the sample data (n)? (Round to three decimals) .029 349.7 374.59 345.04 343.88 358.67 349.41 343.95 Give the P-value: (Round to three decimals) X
In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information.
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O REGRESSION AND CORRELATION Linear relationship and the sample correlation coefficient Shas Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. y 11 10- 94 S- 1.0 6.7 1.0 7.4 10- 2.0 9.4 2.0 9.1 3.0 4.0 3.0 7.0 4.0 9.1 6+ 4.0 5.3 5- 5.0 4.7 5.0 8.0 4. 3 2- 7.0 6.4 6.0 1.7 6.0 5.1 7.0 | 4.6 8.0 10.1 9.0 5.1 8.0 6.5 9.0 5.7 10.0 3.7 10.0 8.0 | Figure 1 Figure 2 t 1.0 3.2 1.0 1.0 2.0 2.0 2.0 4.2 3.0 3.3 3.0 3.0 4.0 4.9 4.0 4.0 5.0 4.5 5.0 5.0 6.0 6.8 6.0 6.0 7.0 5.8 7.0 7.0 8.0 7.3 8.0 8.0 9.0 6.6 9.0 9.0 10.0 8.2 Figure 3 10.0 10.0 Figure 4 Explanation Check e 2021 McGraw-H Education. All Rights Reserved. Terms of Use I Privacy Accessibilty P Type here to search
In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information. 0.235 0.245 0.286 0.263 0.268 0.339 0.299 1.3 3.4 5.5 3.8 3.5 7.3 5.0 A USE SALT (a) Make a scatter diagram of the data. Graph Layers After you add an object to the graph you can use Graph Layers to view and edit its properties. Fill No Solution 2 OHelp 123 0.24 0.25 026 027 028 029 0.3 031 0.32 0.33 WebAssign. Graphing Tool (b) Use a calculator to verify that Ex = 1.935, Ex² = 0.542, Ey = 29.8, Ey2 = 148.48 and Exy = 8.619. Compute r. (Round your answer to four decimal places.) As x increases, does the value of r imply that y should tend to increase or decrease? Explain your answer. O Given our value of r, y should tend to decrease as x…
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