Calculate the correlation coefficient and interpret this value.

Collect 10 days worth of numerical data on 2 topics. Every day, for 10 days, you will collect and record data that you still use to analyze and reflect on your own life choices. For example: # of minutes watching tv and # of steps taken, # of texts sent and # of texts received, etc. Tasks: 1. Collect 10 days worth of numerical data on 2 topics and display the data in a table 2. Report the following description statistics separately for both samples: – Mean -Range -Minimum -5-10% Trimmed Mean -Interquartile Range -Maximum – Median -Standard Deviation -1st and 3rd Quadrilles 3. Construct a scatter plot of the data 4. Calculate the correlation coefficient and interpret this value 5. Calculate the line of best fit and draw on your scatter plot. Interpret the slope of this line 6. Calculate the coefficient of determination, the standard error, and construct a residual plot. Use these three to determine if the least squares regression line is a good fit. (Instead of actually collecting 10 days worth of numerical data, make it up)