Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient \( r \) and determine whether there is a linear correlation. c. Remove the point with coordinates (1,9) and find the correlation coefficient \( r \) and determine whether there is a linear correlation. d. What do you conclude about the possible effect from a single pair of values?[Link] Click here to view a table of critical values for the correlation coefficient.---**a. Do the data points appear to have a strong linear correlation?**- [ ] No- [x] Yes**b. What is the value of the correlation coefficient for all 10 data points?**\( r = \) [ ] (Simplify your answer. Round to three decimal places as needed.)---**Table of Critical Values**| \( n \) | \( \alpha = .05 \) | \( \alpha = .01 \) ||---------|--------------------|--------------------|| 4 | 0.950 | 0.990 || 5 | 0.878 | 0.959 || 6 | 0.811 | 0.917 || 7 | 0.754 | 0.875 || 8 | 0.707 | 0.834 || 9 | 0.666 | 0.796 || 10 | 0.632 | 0.765 |---**Graph Explanation**In the upper right-hand corner, there is a small scatterplot. The scatterplot displays a pattern of data points that illustrates the relationship between two variables, x and y. The graph is a visual aid to help determine the existence and strength of a linear correlation between these variables, though specific points are not detailed in the image.

Given is the data on two variables and we need to calculated correlation b/w them. Note that I used…

Answered: Refer to the accompanying scatterplot.…

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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Answer parts A-D please
Refer to the accompanying scatterplot. a. Examine the pattern of all 10 points and subjectively determine whether there appears to be a strong correlation between x and y. b. Find the value of the correlation coefficient r and determine whether there is a linear correlation. c. Remove the point with coordinates (2,9) ) and find the correlation coefficient r and determine whether there is a linear correlation. (This is for my practice exam qustions, none of it is graded)
Please don't provide handwriting solution
Bt.20.
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places
2. A study was conducted to determine the relationship between a person’s monthly income in Omani Rials and the number of meals that person eats away from home per month. The data are shown below.
If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable. B. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable.
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

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