Open Geogebra and choose "Spreadsheet." You can also get to the Spreadsheet through the "View" menu. Close the Algebra and Gra displays if they are showing; we won't need them. Now select an empty cell in the Geogebra spreadsheet. Do not select an entire row or column! Paste the copied data (CTRL-V should v The data will be pasted into two rows in the spreadsheet. x 14 15 18 27 38 64 65 69 72 73 75 77 81 85 90 91 9497 97 99 y 88 29 22 64 22 14 52 22 29 13 64 48 76 35 84 68 36 28 51 78 In the Geogebra spreadsheet, select both rows. On the top menu bar, find the "One Variable Analysis" button (it's the second large butto from the left, and looks like a small blue bar graph). Carefully click the small triangle in the lower-right corner of the button, and select "T Variable Regression Analysis" from the drop-down menu. Click "Analyze" in the new window to get a scatterplot. In the Data Analysis window, click the Ex button just above "Scatterplot." This brings up the Statistics sidebar. We've used this for Histograms, but a different set of statistics will appear here. To check that you've done things correctly: • Enter the MeanX Value: • Enter the MeaxY Value: • Enter the sample correlation: r = • Enter the population correlation: p =

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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The following data can be copy-pasted into Geogebra. Highlight all of the table data below and copy (CTRL-C should work here):
Open Geogebra and choose "Spreadsheet." You can also get to the Spreadsheet through the "View" menu. Close the Algebra and Graphics
displays if they are showing; we won't need them.
Now select an empty cell in the Geogebra spreadsheet. Do not select an entire row or column! Paste the copied data (CTRL-V should work).
The data will be pasted into two rows in the spreadsheet.
x 14 15 18 27 38 64 65 69 72 73 75 77 81 85 90 91 9497 97 99
y 88 29 22 64 22 14 52 22 29 13 64 48 76 35 84 68 36 2851 78
In the Geogebra spreadsheet, select both rows. On the top menu bar, find the "One Variable Analysis" button (it's the second large button
from the left, and looks like a small blue bar graph). Carefully click the small triangle in the lower-right corner of the button, and select "Two
Variable Regression Analysis" from the drop-down menu. Click “Analyze" in the new window to get a scatterplot.
In the Data Analysis window, click the Ex button just above "Scatterplot." This brings up the Statistics sidebar. We've used this for
Histograms, but a different set of statistics will appear here. To check that you've done things correctly:
• Enter the MeanX Value:
• Enter the MeaxY Value:
• Enter the sample correlation: r =
• Enter the population correlation: p =
Transcribed Image Text:The following data can be copy-pasted into Geogebra. Highlight all of the table data below and copy (CTRL-C should work here): Open Geogebra and choose "Spreadsheet." You can also get to the Spreadsheet through the "View" menu. Close the Algebra and Graphics displays if they are showing; we won't need them. Now select an empty cell in the Geogebra spreadsheet. Do not select an entire row or column! Paste the copied data (CTRL-V should work). The data will be pasted into two rows in the spreadsheet. x 14 15 18 27 38 64 65 69 72 73 75 77 81 85 90 91 9497 97 99 y 88 29 22 64 22 14 52 22 29 13 64 48 76 35 84 68 36 2851 78 In the Geogebra spreadsheet, select both rows. On the top menu bar, find the "One Variable Analysis" button (it's the second large button from the left, and looks like a small blue bar graph). Carefully click the small triangle in the lower-right corner of the button, and select "Two Variable Regression Analysis" from the drop-down menu. Click “Analyze" in the new window to get a scatterplot. In the Data Analysis window, click the Ex button just above "Scatterplot." This brings up the Statistics sidebar. We've used this for Histograms, but a different set of statistics will appear here. To check that you've done things correctly: • Enter the MeanX Value: • Enter the MeaxY Value: • Enter the sample correlation: r = • Enter the population correlation: p =
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