Q. 4.152
Question
In each of Exercises 4.152 and 4.153. perform the following tasks.
a. Compute the linear correlation coefficient, r.
b. Can you conclude from your answer in part (a) that the variables x and y are linearly related? Explain your answer price data for
c. Draw a scatterplot for the data.
d. Is use of the linear correlation coefficient as a descriptive measure for the data appropriate? Explain your answer.
e. Show that the data are related by the equation provided.
f. Graph the equation and the date points.
| x | -5 | -3 | -1 | 1 | 3 | 5 |
| y | -32 | -60 | -80 | -92 | -96 | -92 |
Step-by-Step Solution
VerifiedThe output is
| x | -5 | -3 | -1 | 1 | 3 | 5 |
| y | -32 | -60 | -80 | -92 | -96 | -92 |
MINITAB Procedure
Step 1: Select Statistics> Basic Statistics> Connectivity.
Step 2: In the variable, select x and y in the box on the left.
Step 3: Click OK.
Correlation :x, y
Based on the result obtained in subsection (a), it cannot be concluded that the variables x and y are connected in a line. Picture information is also required whether the points are scattered on the line or not.
Step 1: Select Graph> Scatterplot
Step 2: Select By Connection Line, then click OK.
Step 3: Under Yvariables, enter the y y column
Step 4: Below the X variable, enter the x column.
Step 5: Click OK.
Show that the data is related to the given number
The data provided is related to the given number.
Description:
For x = - 5
Substitute -5 instead of x in the regression calculations. Therefore,
Step 1: Select Graph> Scatterplot
Step 2: Select By Connection Line, then click OK.
Step 3: Under Yvariables, enter the y y column. Step 4: Below the X variable, enter the x column.
Step 5: Click OK.