Algebra 1 Linear Regression Practice

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

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.HSS.ID.B.6

CCSS.HSS.ID.C.8

CCSS.HSS.ID.C.9

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

Tags

CCSS.HSF-LE.A.1B

• Positive, strong
• Positive, moderate
• Negative, strong
• Negative, moderate

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

The scatter plot below shows the number of books read by students in Mrs. Hall’s English class and their final grades. Which statement represents the best description about the line of best fit?

• The more books students read, the lower their English grade.

• The more books students read, the higher their English grade.

• The fewer books students read, the higher their English grade.

• No relationship exists between the number of books students read and their English grades.

Tags

CCSS.HSF.LE.B.5

Data is analyzed comparing hours studied and grades. It is determined that the correlation coefficient is 0.92. What does this mean?

• There is a strong positive correlation between studying and grades.

• There is a strong negative correlation between studying and grades.

• There is a weak positive correlation between studying and grades.

• There is a weak negative correlation between studying and grades.

Tags

CCSS.HSF.LE.B.5

The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.

• 10 miles
• 617.5 miles
• 0.19 miles
• 500 miles

Tags

CCSS.8.EE.C.8C