Calculating the Correlation Coefficient with a TI-83

This video tutorial guides viewers on how to find the correlation coefficient using a graphing calculator. It begins with setting up the calculator, entering data for absences and grades into lists, and then calculating the correlation coefficient. The tutorial explains the steps to enable diagnostics, input data, and interpret the results, highlighting the negative relationship between absences and grades.

What is the first step in finding the correlation coefficient using a graphing calculator?

• Entering data into the lists

• Turning on the calculator

• Calculating the linear regression

• Turning on diagnostics

Which key combination is used to access the catalog on the calculator?

• Second and 0

• Second and 1

• Second and X

• Second and Y

What should you do after highlighting 'Diagnostic On' in the catalog?

• Press the Clear button

• Turn off the calculator

• Press Enter twice

• Scroll down to the next option

Where should the absences data be entered in the calculator?

• L3

• L1

• L2

• L4

What is the correct sequence to clear existing data in L1?

• Highlight L1, press Clear, press Down

• Highlight L1, press Enter, press Up

• Highlight L1, press Enter, press Down

• Highlight L1, press Clear, press Up

Which key should be pressed to access the 'Calculate' menu after entering the data?

• Stat

• Edit

• Enter

• Clear

What is the purpose of pressing '2nd' and '1' after selecting 'LinReg'?

• To bring up List 1

• To calculate the correlation coefficient

• To clear the data

• To turn off diagnostics

What does a negative correlation coefficient indicate?

• Variables move in the same direction

• No relationship between variables

• Variables move in opposite directions

• A weak relationship between variables

What is the correlation coefficient value found in the video?

• 0.981

• 0.198

• 0.891

• 0.918

What does the correlation coefficient of -0.981 suggest about the relationship between absences and grades?

• A weak positive relationship

• A weak negative relationship

• A strong positive relationship

• A strong negative relationship