Geogebra_Regression_Analysis

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Florida International University *

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MISC

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Statistics

Date

Feb 20, 2024

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pdf

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2

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Geogebra – Regression Analysis For the second part of this lesson, you will be analyzing your data from your race car and creating four functions to model the data. You will create a document to insert pictures of your function models and comment on the appropriateness of each model. Keep everything on ONE page. 1. Collect data of time vs distance from your race car video; aim to have a minimum of 10 data points . Time is your independent variable ( x ) and distance is your dependent variable ( y ). 2. Go to geogebra.org and select “Classic” mode (figure 1). Open the “perspectives” menu and select Spreadsheet (figure 2). Figure 3 3. Enter your time data ( x ) in column A and your distance data ( y ) in column B. 4. Highlight all the data – click on the bar chart button (figure 3) – select Two Variable Regression Analysis (Figure 4) 5. A new window will open and display a scatter plot of the data from the spreadsheet (you can close the two windows that are not in use)(figure 5). Figure 1 Figure 2 Figure 4 Figure 3
6. In the bottom left corner of the window, select the Regression Model you want – first select Linear. (Figure 5). An equation and graph will appear for the linear model. 7. Get a capture of your linear model to paste into a document. Make sure that your image contains your graph and the equation and that it can be seen clearly in your document. Write a sentence or two on the appropriateness of the linear model. Remember, your model represents how far your race car went based on time. 8. Change your regression model to Polynomial; the number on the side represents the highest degree. Make your model quadratic. Capture the image of your quadratic model and insert it into your document. Write a sentence or two on the appropriateness of the polynomial model. 9. Repeat step 8 using an Exponential model and a Logarithmic model. Figure 5 Figure 6
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