Correlation Coefficients Residuals

• Positive, strong
• Positive, weak
• Zero
• Negative, strong

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

• Positive, strong
• Positive, weak
• Negative, strong
• Negative weak

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

Rank these scatter plots according to the intensity of the correlation represented, from weakest to strongest.

• 1, 2, 3, 4

• 2, 4, 3, 1

• 4, 3, 2, 1

• 1, 3, 4, 2

• This residual plot represents a linear fit.
• This residual plot represents a nonlinear fit.
• This residual plot represents no fit.

The scatter plot shows the number coffee shops in different cities and the number of violent crimes. Which of the following is NOT true?

• A) As the number of coffee shops increase, violent crimes appears to increase.

• B) The line of best fit (regression line) shows a positive correlation

• C) The data has a positive correlation coefficient

• D) An increase in coffee shops causes an increase in violent crimes

• Positive, strong
• Positive, weak
• Negative, strong
• Negative, weak

I predicted someone would lose 14 lbs, but they actually lost 12 lbs. Calculate the residual.

• 14 - 12 = 2

• 12 - 14 = -2

• 14 - 2 = 12

• 2 - 14 = -12

The r² value of the quadratic regression of this table is ...

• r²=0.9789

• r²=0.9515

• r²=0.9754

• r²=0.9613

Tags

R^2