The data below are the ages and annual pharmacy bills (in dollars) of 9randomly selected employees.Age, xPhamacy bill ($), v414448515456606468111115118126137140143145147(a) Calculate the linear correlation coefficient:Roundanswer to thousandths place.(b) Does a linear relationship exist between age and pharmacy bills?Write 'Yes' or 'No'

Answered: Image /qna-images/answer/ece8e672-6ade-4477-9486-25bb69803a07.jpg

Answered: The data below are the ages and annual…

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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Q13What is the correlation between average monthly rainfall and crop yield in a given region over the past 10 years, and how does this relationship vary across different types of crops grown in the area?
use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims.
Construct a scatter plot for the given data. Determine whether there is a positive correlation, negative correlation, or no linear correlation. x-5-34 1 |-1-202 3-4 y11 6 |-6-13 4 1-4-58
Match the linear correlation coefficient to the scatter diagram. The scales on the x- and y-axes are the same for each diagram. (a) r= - (b) r= - 0.546 0.025 0.946 (c) r= - (d) r= - 1 Click the icon to view the scatter diagrams. ..... r= - 0.025 r= - 0.546 r= - 0.946 r= - 1 Drag each of the r-values given above into the appropriate area below. Explanatory Explanatory Explanatory Explanatory Response Response Response Response • .
Question 1: Given the following pmf: 1 3 4 6 12 p(x) 0.30 0.10 0.15 0.40 a) Find the missing probability for x = 4. b) Calculate the probability P(6
Data relating to age of the students and their games. Calculate correlation between the age of the students and their playing habits. Age 15 16 17 18 19 20 No. of Students 250 200 150 120 100 80 Regular Players 200 150 90 48 30 12
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
Give an example of two variables that have a positive linear correlation. Give an example of two variables that have a negative linear correlation. Give an example of two variables that have no correlation. Below is the height in inches and weight in pounds of eleven individuals Height, x 62 63 66 68 70 72 73 74 74 75 75 Weight, y 195 190 250 220 250 255 260 275 280 295 300 x = 65 inches x = 69 inches x = 71 inches
Answer
An LCBO employee compares the relationship between the price of 6 different vintage bottles of wine, and the number of those bottles that have been purchased in the last 3 months to see if there is a correlation between the number of bottles purchased and the price of the bottle. Number of Bottles of Wine Purchased in the Price of Wine Bottle ($) Last 3 Months 44 18 93 65 82 56 25 60 15 30 20 40
What is the value of the correlation coefficent, r? Is the strength of the linear relationship strong, moderately strong, somewhat weak or very weak?

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