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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. Suppose a random sample of employees gave the following information. Given the scatter diagram and "best fit" line for the data below, would you say the correlation is low, moderate, or strong? Positive or negative? O moderate and negative strong and positive O low and positive strong and negative low and negative

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. Suppose a random sample of employees gave the following information. Given the scatter diagram and "best fit" line for the data below, would you say the correlation is low, moderate, or strong? Positive or negative? O moderate and negative strong and positive O low and positive strong and negative low and negative

MATLAB: An Introduction with Applications
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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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. Suppose a random sample of employees gave the following information. Given the scatter diagram and "best fit" line for the data below, would you say the correlation is low, moderate, or strong? Positive or negative? moderate and negative strong and positive low and positive strong and negative low and negative
Transcribed Image Text: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. Suppose a random sample of employees gave the following information. Given the scatter diagram and "best fit" line for the data below, would you say the correlation is low, moderate, or strong? Positive or negative? moderate and negative strong and positive low and positive strong and negative low and negative
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