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Gekata
1 month ago
10

The following table shows the annual income, in dollars, and amount spent on vacation, in dollars, for a sample of 8 families.

Mathematics
1 answer:
AnnZ [12.3K]1 month ago
4 0

Answer:

a. The scatterplot is included.

b. There is a Positive Correlation!

c. The correlation coefficient computes to be 0.9219

Step-by-step explanation:

a.

To create the scatter plot:

  • Open a Google Sheets document or an Excel file on your device.
  • Populate columns B and C with the Income and Vacation data as specified.
  • Select the data, then click on insert CHART.
  • Choose the Scatter Chart format.
  • Click OK.

A scatter plot representing your data should appear as shown.

b.

  • Open a spreadsheet via Google Sheets.
  • Double-click on your scatter plot.
  • In the right panel, select the Customize option, and proceed to Series.
  • Check the box for the Trend line.

- From the trend line, it is clear that the variables exhibit a positive correlation.

- An increase in income corresponds to an increase in vacation spending.

c. The correlation coefficient can be calculated as follows:

  • Access an empty cell in your sheet and input the formula
  • "=CORREL((y-axis range),(x-axis range))"
  • Hit ENTER.

- According to our Google Sheets calculations, a positive correlation exists between the variables, and the correlation coefficient equals 0.9219.

- This correlation coefficient,r can also be calculated manually:

- Let x stand for income, and y for vacation, and scale all values down by 100 for easier calculations:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2-(\sum x)^2][n\sum y^2-(\sum y)^2}}\\\\\\\sum xy=153914\\\sum x=4485\\\sum y=246\\\sum x^2=2878447\\(\sum x)^2=4485^2=20115225\\(\sum y)^2=246^2=60516\\\sum y^2=8392\\n=8\\\\\#substitute \ and \ solve \ for \ r\\\\=\frac{8\times153914-4485\times 246}{\sqrt{[8\times 2878447-4485^2][8\times 8392-246^2]}}\\\\=0.92186\\\\\approx 0.9219

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