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Use the following to answer the questions below:
Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided.
Use three decimal places when reporting the results from any calculations, unless otherwise specified.
Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪    The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -The correlation between foot length and forearm length is 0.7389. Compute and interpret   for this regression model.
The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm)
-The correlation between foot length and forearm length is 0.7389. Compute and interpret Use the following to answer the questions below: Students in a small statistics course wanted to investigate if forearm length (in cm) was useful for predicting foot length (in cm). The data they collected are displayed in the provided scatterplot (with regression), and the computer output from the analysis is provided. Use three decimal places when reporting the results from any calculations, unless otherwise specified. ‪    The regression equation is Foot (cm) = 9.22 + 0.574 Forearm (cm) -The correlation between foot length and forearm length is 0.7389. Compute and interpret   for this regression model. for this regression model.

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About 55% of the v...

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