A.4A,B,C - Regression

What type of correlation does this graph have?

• positive 
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.5

What type of correlation does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSS.ID.B.5

What type of association does this scatter plot represent?

• positive linear association
• negative linear association
• no association
• nonlinear association

Tags

CCSS.HSS.ID.B.5

Which scatter plot diagram shows the strongest positive correlation?

• 
• 
• 
• 

Tags

CCSS.HSS.ID.B.5

Which example shows CAUSATION?

• Taller people have larger shoe sizes and shorter people have smaller shoe sizes.

• If you exercise, the calories burned per minute increases.

Tags

CCSS.HSS.ID.C.9

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• High social media usage and reduced grades.

• Car ran out of gas and being stranded on the side of the road.

• Recess time and number of friends.

Tags

CCSS.HSS.ID.C.9

Which example shows CAUSATION? (Which one CAUSED the other to happen.)

• Rainfall and time spent reading.

• Eating more butter and increased divorce rates.

• It started raining and the baseball game was delayed.

Tags

CCSS.HSS.ID.C.9

A restaurant sells pizza for the prices in the data table.  Calculate the linear regression equation of the data.

• y = 1.5x + 12
• y = 12x + 1.5
• y = 0.67x - 8
• y = -8x + 0.67

Tags

CCSS.8.EE.C.8C

A person travels by car.  They record their miles driven in a data table.  Calculate the linear regression equation of this data.

• y = 61.93x - 1.79
• y = -1.79x + 61.93
• y = 0.016x + 0.03
• y = 0.03x + 0.016

Find the equation of the line of best fit for the given data

• y = 163.41x+1.49

• y =- 163.41x+ 4.19

• y =- 4.19x+163.41

• y = 4.19x -163.41