Question

Let x be the average number of employees in a group health insurance plan, and let...

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 36 73
y 40 35 30 28 16

(a) Make a scatter diagram of the data and visualize the line you think best fits the data.

Selection Tool

Line

Ray

Segment

Circle

Vertical Parabola

Horizontal Parabola

Point

No Solution

Help

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Clear Graph

Delete Layer

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WebAssign Graphing Tool

Graph LayersToggle Open/Closed

  • After you add an object to the graph you can use Graph Layers to view and edit its properties.


(b) Would you say the correlation is low, moderate, or strong? positive or negative?

low and positivelow and negative    moderate and positivestrong and positivestrong and negativemoderate and negative


(c) Use a calculator to verify that Σx = 134, Σx2 = 6908, Σy = 149, Σy2 = 4765, and Σxy = 2991. 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, y should tend to increase as x increases.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 decrease as x increases.Given our value of r, y should tend to remain constant as x increases.

Homework Answers

Answer #1

(a)

From above scatter plot, we see that x and y are linearly related.

Option: Line.

b. We observed from scatter plot that as x increases y decreases. Hence x and y are strong negatively correlated.

Option: strong negative.

c.

R code:

x=c(3,7,15,36,73)
y=c(40,35,30,28,16)
plot(x,y)#(a)
#(c)
sum(x)
sum(x^2)
sum(y)
sum(y^2)
sum(x*y)
Sxx=sum(x^2)-(sum(x))^2/5
Syy=sum(y^2)-(sum(y))^2/5
Sxy=sum(x*y)-(sum(x)*sum(y))/5
Sxx
Syy
Sxy
r=Sxy/sqrt(Sxx*Syy)
round(r,3)

Value of r=-0.966 which indicates strong negative correlation hence

Option: Given our value of r, y should tend to decrease as x increases.

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