# StatCrunch assignment, writing homework help

Instructions:
This data analysis assignment will use both StatCrunch applets to simulate random actions and the results from a survey administered to a nationwide random sample of high school students found in our StatCrunch group titled CensusAtSchool.
Question 1
1a. Use StatCrunch to construct an appropriately titled and labeled scatterplot with “Armspan_cm” as the explanatory variable and “Height_cm” as the response variable. Copy your scatterplot into your document.
1b. Use Stat-> Summary Stats->Correlation to compute the correlation between “Armspan_cm” and “Height_cm”. Copy the table into your document.
1c. Use StatCrunch to construct an appropriately titled and labeled scatterplot with “Footlength_cm” as the explanatory variable and “Height_cm” as the response variable. Copy your scatterplot into your document.
1d. Use Stat-> Summary Stats->Correlation to compute the correlation between “Footlength_cm” and “Height_cm”. Copy the table into your document.
1e. If you were trying to predict a high school student’s height, would you be able to make a better prediction by knowing the student’s armspan or footlength? Use the scatterplots and correlation values from parts 1a-1d to justify your choice of armspan or footlength by comparing their shapes, trends and strengths.
1f. Use StatCrunch to conduct a regression analysis to predict a student’s height using their armspan. Use Stat->Regression->Simple Linear.
Copy only the simple linear regression results (as shown below) into your document.