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.3.7153473y4035302716A USE SALT(a) Make a scatter diagram of the data and visualize the line you think best fits the data.404040353535303030252525202020102030405060 701020304050607010203040506070x (average numberX (average numberX(average numberof employees)of employees)of employees)403530252010203040506070X (average numberof employees)(b) Would you say the correlation is low, moderate, or strong? positive or negative?moderate and positivelow and negativeO low and positiveO strong and negativemoderate and negativeO strong and positivey (average costy (average costas percentage)as percentage)y (average costas percentage)y (average costas percentage) 771318410203040506070X(average numberof employees)(b) Would you say the correlation is low, moderate, or strong? positive or negative?O moderate and positiveO low and negativeO low and positiveO strong and negativeO moderate and negativeO strong and positive(c)Use a calculator to verify that Ex = 132, Ex26768, Ey = 148,Ey?4710, and Exy = 2901. Compute r. (Round your answer to four decimal places.)%3D%3D%3Dr =As x increases, does the value of r imply that y should tend to increase or decrease? Explain.O Given our value of r, we cannot draw any conclusions for the behavior of y as x increases.O Given our value of r, y should tend to increase as x increases.Given our value of r, y should tend to decrease as x increases.Given our value of r, y should tend to remain constant as x increases.

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Answered: (b) Would you say the correlation is…

College Algebra

10th Edition

ISBN:9781337282291

Author:Ron Larson

Publisher:Ron Larson

Chapter5: Exponential And Logarithmic Functions

Section5.5: Exponential And Logarithmic Models

Problem 4ECP

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Q1A) List down the measures of central tendency and measures of dispersion 1) Q1B) The operations manager of a plant that manufactures tires wants to compare the actual inner diameters of two grades of tires, each of which is expected to be 575 millimeters. A sample of five tires of each grade was selected, and the results representing the inner diameters of the tires, ranked from smallest to largest, are as follows. Grade X grade Y 568 570 575 578 584 573 574 575 577 578 requirement. a) for each of the tow grades of tries, compute the mwan, median, and standred deviation. b) which grade of tire providing better quality? explain. c) what would be the effect on your answer in (a) and (b) if the last value for grade Y were 588 insert 578 explain. PLEAS ANSWER Q1&B. THANK YOU.
A glass manufacturing company wanted to investigate the effect of breakoff pressure and stopper height on the percentage of breaking off chips. The results are in the accompanying table. Complete parts (a) through (e). a. At the 0.01 level of significance is there an interaction between the breakoff pressure and the stopper height? b. is there an effect due to the breakoff pressure? c. is there an effect due to the stopper height? d. Plot the percentage breakoff for each breakoff pressure for each stopper height. e. Discuss the results of (a) through (d).
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. Year03691215 Retail Sales85.851108.426141.781169.256202.297222.266 Let y be the retails sales in billions of dollars in x years since 1995. A linear model for the data is y=9.44x+84.182 A) Use the above scatter plot to decide whether the line of best fit, fits the data well. The function is a good model for the data.The function is not a good model for the data B) To the nearest billion, estimate the retails sales in the U. S. in 2011. billions of dollars. C) Use the equation to find the year in which retails sales will be $240 billion. .
A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 10 randomly selected hours. Defects (Y) Production rate per hour(X) 2 40 3 45 1 35 2 37 3 40 2 40 3 45 2 30 1 30 4 30 (a). Construct a scatter plot diagram and comment on the relationship between y and x (b). Calculate the correlation coefficient (r) between x and y and comment on the result. (c). Find the coefficient of determination and interpret the result.
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(b) Would you say the correlation is low, moderate, or strong? positive or negative? O moderate and positive O low and negative O low and positive O strong and negative O moderate and negative O strong and positive