www.office.comits itslearningCDhttps://harford.itslearning.com/ContentArea/ContentArea.aspx?Location Type=1&LocationID=66328&ElementID=21347927&ElementType=655-Home Courses Groups Calendar Apps and Tools HCPS CLEVERMoreMA1501-Statistics-Bo...Overview Plans360° reportsResources Follow-up and reportsLesson 53 Check for UnderstandingQuestion 2If Data A has a correlation coefficient of r = -0.75, and Data B has a correlation coefficient of r = 0.75, which statement is correct?Your answer:O Data A has a stronger linear correlation than Data BData A has a weaker linear correlation than Data BOData A and Data B have the same strength in linear correlationO cannot be determined from the data providedClear answerNextType here to searchO 박O53°FitslearningBackjavascript:void(0);H

We have given that, If Data A has a correlation coefficient of r = -0.75, and Data B has a…

Answered: esson 53 Check for Understanding 1 2 3…

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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Two variables are found to have a strong positive linear correlation. Pick the correct statement. An increase in one variable potentially causes a decrease in the other. An increase in one variable does not cause a decrease in the other. An increase in one variable does not cause an increase in the other. An increase in one variable potentially causes an increase in the other. An increase in one variable causes a decrease in the other. An increase in one variable causes an increase in the other.
What does a correlation coefficient of 2 indicate? There is a weak relationship between the two quantitative variables. It indicates a calculation error, as the correlation coefficient cannot be 2. There is a strong relationship between the two quantitative variables. It indicates a non-linear relationship between the two quantitative variables. There is no linear relationship between the two quantitative variables.
Which of the following is true of the correlation r? It measures the strength of the straight-line relationship between two quantitative variables. It cannot be greater than 1 or less than 1. A correlation of +1 or –1 can only happen if there is a perfect straight-line relationship between two quantitative variables. Correlation is 0 only when there is no association between the variables. Correlation changes when the explanatory and response variables are switched.
11. 1.0 8.3 1.0 4.0 10- 9- 10- 9 2.0 5.2 2.0 5.7 8- 3.0 9.8 3.0 6.9 7 6- 7- 4.0 6.1 6+ 54 4+ x 3 4.0 4.3 5- 5.0 1.7 5.0 5.2 4- 6.0 | 5.1 3 6.0 8.1 2- 2 7.0 | 5.7 1- 7.0 9.2 1- 8.0 3.8 8.0 6.7 9.0 9.6 9.0 8.9 10.0 6.6 Figure 1 10.0 8.0 Figure 2 m 114 3.3 10- 1.0 1.0 7.7 10+ 9- 2.0 4.5 9- 2.0 6.9 3.0 3.8 3.0 8.1 6- 4.0 6.1 5.0 7.0 4.0 5.2 5- 5- 5.0 | 4.3 4- 6.0 4.5 4. 3 2- 6.0 7.1 7.0 2 5.9 7.0 5.2 8.0 7.6 8.0 | 3.6 9.0 6.9 9.0 4.6 10.0 7,7 | Figure 3 10.0 3.1 Figure 4 Answer the following questions about the relationships between pairs of variables and the values of r, the sample cc be the correct answer for more than one question. Explanation Check O oololole
èstion 1 Provide an appropriate response. In an area of the Great Plains, records were kept on the relationship between the rainfall (in inches) and the yield of wheat (bushels per acre). Calculate the linear correlation coefficient. 173 79 122 | 105 53.5 142 | 205 85.4 522 349 Rainfall (in inches), x 15.1 12 8.7 17.7 Yield (bushels per acre), y O 0.900 O 0.981 O 0.998 49.2 618 62 818 O 0.899 A Moving to another question will save this response. Question 1 of 20>> 11:33 AM (ゆッ 5/19/2021 PrtSen Home PgUP End E D B Alt
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
Determine which scatterplot shows the strongest linear correlation. Which graph(s) look like a linear model would be appropriate? Why?Which graph(s) would a linear model not be appropriate? Why?Which graph shows the strongest linear correlation?Draw a line of best fit through the data of the graph you believe has the strongest linear correlation.Construct a residual plot of this data based on the the you drew through the data.
Right arm 102 101 94 79 79 Left arm 175 169 182 146 144 If the sample data were to result in the scatterplot shown here, what is the value of the linear correlation coefficient r?
Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. A person's age and the clarity of their vision (positive, negative, or no correlation)
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation
MCQS(Explanation) -which approach is based on the correlation measurements within a system. -signal based method -model based method -data driven method -none of the mentioned.

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