Results . . .
![Picture](/uploads/5/0/7/1/50710959/8043624.jpg?250)
From all the data we have concluded from this experiment, it is safe to say that arms span and height have a very strong positive linear correlation. The R correlation was .99 rounded to the nearest hundredth, which is extremely close to 1, meaning we have a very positive correlation. Along with the R correlation being .99, the Coefficient of Determination was .98 when round to the nearest hundredth. This value is also extremely close to 1. This means 98% of the data is on the fitted regression line and most of the y values can be represented by the x-values.
These results prove our prediction that we made using our own personal arm span and height measurement to be correct. The measurements of a persons arm span is not directly correlated with a person height, yet they are extremely close to one another .
These results prove our prediction that we made using our own personal arm span and height measurement to be correct. The measurements of a persons arm span is not directly correlated with a person height, yet they are extremely close to one another .
Write up . . .
Doing the process of analyzing the data of the arm span and height was very interesting. Who knew that the length of your arms could be approximately the same length of your height?
First we created a scatter plot graph using the 83 measurements of arm span and the 83 measurements of height to visually see the correlation between our two variables.
After graphing the data when then used formulas in Microsoft Excel to get the Descriptive Analysis of the data. This included the mean, median, mode, and all of the data you see in the statistics sections. During this time we also to the time to find the R Correlation Coefficient. We also recorded ourselves finding the R correlation for anyone who may need to learn how to calculated it using excel.
Next, Using the R correlation coefficient we were told you make a prediction on what we believe the results would be. Instead of picking out random numbers and filling them into the regression equation we found, we decided to measure the arm span and height of one another and use those results to make our prediction.
Once the descriptive analysis and predictions of was complete it was time to find the Coefficient of Determination and determine the results of if there was a correlation between arm span and height.
First we created a scatter plot graph using the 83 measurements of arm span and the 83 measurements of height to visually see the correlation between our two variables.
After graphing the data when then used formulas in Microsoft Excel to get the Descriptive Analysis of the data. This included the mean, median, mode, and all of the data you see in the statistics sections. During this time we also to the time to find the R Correlation Coefficient. We also recorded ourselves finding the R correlation for anyone who may need to learn how to calculated it using excel.
Next, Using the R correlation coefficient we were told you make a prediction on what we believe the results would be. Instead of picking out random numbers and filling them into the regression equation we found, we decided to measure the arm span and height of one another and use those results to make our prediction.
Once the descriptive analysis and predictions of was complete it was time to find the Coefficient of Determination and determine the results of if there was a correlation between arm span and height.