Quiz 12 - Regression & Residuals

Residuals are . . . 

• possible models not explored by the researcher
• variation in the response variable that is explained by the model
• the difference between the observed response and the values predicted by the model
• data collected from individuals that is not consistent with the rest of the group

Estimate the correlation coefficient for this scatterplot.

• r = 1.2
• r = 0.89
• r = 0
• r = -0.89

Tags

CCSS.HSS.ID.C.8

CCSS.HSS.ID.B.6

In a scatterplot r is called

• Coefficient of Determination
• Correlation coefficient
• Regression Line
• Slope

Tags

CCSS.HSS.ID.C.8

The linear model to represent the distance (in miles) traveled given the time (in hours) driving is 

 $m=-1.79+61.93h$ . Predict how far a person will travel driving 10 hours. 

• 617.51 miles

• 621.09 miles

• 100 miles

• 0.19 miles

Tags

CCSS.HSF.LE.B.5

The linear model to represent the distance (in miles) traveled given the time (in hours) driving is 

 $m=-1.79+61.93h$ . A person who traveled for 8 hours, went 443.65 miles.  What is the residual?

• 50 miles

• -50 miles

• 8 miles

• -25 miles

Tags

CCSS.8.EE.C.8C

When using midterm exam scores to predict a student's final grade in the class, the student would prefer to have

• positive residual, because that means the student's final grade is higher than we would predict with the model

• positive residual, because that means the student's final grade is lower than we would predict with the model

• residual equal to zero, because that means the student’s final grade is exactly what we would predict with the model

• negative residual, because that means the student’s final grade is higher than we would predict with the model

Tags

CCSS.8.EE.C.8C

If x is temperature and y is coffee sales, use the following linear model to determine the coffee sales in a 34° day.

 $y=6443-60x$  

• $8483

• $4403

• $4673

• $6443

Tags

CCSS.HSF.LE.B.5

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

Tags

CCSS.HSF-LE.A.1B

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

Tags

CCSS.HSF-LE.A.1B

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

Tags

CCSS.HSF-LE.A.1B