High School

A data set is given below.

(a) Draw a scatter diagram. Comment on the type of relation that appears to exist between [tex]x[/tex] and [tex]y[/tex].

(b) Given that
\[ x = 3.6667, \]
\[ s_x = 2.3381, \]
\[ y = 4.3167, \]
\[ s_y = 1.5065, \]
and
\[ r = -0.9293, \]
determine the least-squares regression line.

(c) Graph the least-squares regression line on the scatter diagram drawn in part (a).

Answer :

a. The scatter diagram is attached

b. The​ least-squares regression line is y = -0.60x + 6.51

c. The​ least-squares regression diagram is attached

How to draw the scatter diagram

From the question, we have the following parameters that can be used in our computation:

x 0 2 4 4 6 6

y 5.9 6.0 4.8 3.9 2.5 2.8

The scatter plot is attached

From the plot, we can see that there is negative linear relation

How to determine the​ least-squares regression line.

Here, we have

x = 3.6667​

Sx = 2.3381​

y = 4.3167​

Sy = 1.5065​

r = -0.9293​

The​ least-squares regression line is represented as

y = ax + b

Where

a = r * Sy/Sx

b = y - ax

So, we have

a = -0.9293​ * 1.5065/2.3381​

a = -0.5987

Also, we have

b = 4.3167​ + 0.5987 * 3.6667​

b = 6.5121

So, we have

y = -0.5987x + 6.5121

Approximate

y = -0.60x + 6.51

The graph is attached

Read more about linear regression at

https://brainly.com/question/25987747

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Question

A data set is given below.

​(a) Draw a scatter diagram. Comment on the type of relation that appears to exist between x and y.

​(b) Given that

x=3.6667​, sx=2.3381​, y=4.3167​, sy=1.5065​, and r=−0.9293​,

determine the​ least-squares regression line.

​(c) Graph the​ least-squares regression line on the scatter diagram drawn in part​

x 0 2 4 4 6 6

y 5.9 6.0 4.8 3.9 2.5 2.8