![]() ![]() (Always check the form of the scatter plot before using linear regression.) C. Notice that the data has a strong linear association, so it makes sense to use linear regression. Using the year since 1896 as the explanatory variable and the winning time as the response variable: graph the scatter plot with the regression line and produce the regression equation with the correlation coefficient - all at the same time b. If not, please see the Data section above. These directions assume that you have uploaded the Olympics data file in GeoGebra. Copy the image by and means necessary and put it in appropriate place below. Under the Scatter Plot there is a pull down menu that you should select "Linear" and that will give you your equation. Your Scatter Plot should now be displayed.Click on "Two Variable Regression Analysis." Click on the Histogram looking button on the top left of the page.Open the Google Sheets Olympics data file, en Copy and paste the data from the Google Sheets into GeoGebra. List of GeoGebra Directions to find the scatter plot, least square regression line, r or r2, and use the equation to find a prediction value. You will also use GeoGebra to find the regression equation and correlation coefficient. In the first two questions below, you will use GeoGebra to produce and examine the scatter plot for the Olympics data file. Einner the Seatter Plot there is a null down menu that you should. Your Scatter Plot should now be displayed. Click on "Two Variable Regression Analysis.Copy and paste the data from the Google Sheets into GeoGebra, Select the Data in GeoGebra. Open the Google Sheets Olympics data file. ![]() Then copy and paste the data into the GeoGebra Spreadsheet Prompt In the first two questions below, you will use GeoGebra to produce and examine the scatter plot for the Olympics data file. #Regression line from data in geogebra classic download#PiallaLly Vallduie du UC VOR UM IS Le response Val Idul Data Download the Olympics data file for the men's 1,500 meter race. Time: the winning time for the 1,500 meter race, in seconds. Variables Year: the year of the Olympic Games, from 1896 to 2000. Are athletes getting better? We will use regression to investigate the change in winning times for one event,the men's 1,500 meter race. Context The modern Olympic Games have changed dramatically since their inception in 1896. A list of GeoGebra directions is provided at the bottom of this text-box. We highly recommend that you complete this activity on a computer. ![]() Transcribed image text: Learn by Doing Some features of this activity may not work well on a cell phone or tablet. ![]()
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