Regression Lines of Fit

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

• 600 miles

• 620 miles

• 650 miles

• 900 miles

The linear regression equation is y = 61.93x - 1.79. Predict how long it would take them to drive 750 miles.

• about 9 hours

• about 10 hours

• about 12 hours

• about 13 hours

Tags

CCSS.8.EE.C.8C

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

• 2,560

• 2,620

• 2,690

• 2,750

Tags

CCSS.HSF.BF.A.2

The scatter plot shows the relationship between the number of chapters and the total number of pages for several books.  Use the trend line to predict how many chapters would be in a book with 180 pages. 

• 12 chapters
• 15 chapters
• 18 chapters
• 21 chapters

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

Tags

CCSS.8.EE.C.8C

The annual profits for a company are given in the following table, where x represents the number of years since 1992, and y represents the profit in thousands of dollars. Estimate the year in which the profits would reach 378 thousand dollars.

• 2029

• 2014

• 2003

• 8753

The number of newly reported crime cases in a county in New York State is shown in the accompanying table, where x represents the number of years since 1994, and y represents number of new cases. Find the projected number of new cases for 2003, rounded to the nearest whole number.

• 974

• 25,101

• 940

• 952

Name this character.

• Dr. Wily

• Proto Man

• Bubble Man

• Mega Man

Tags

CCSS.RL.1.10

CCSS.RL.K.5

Name this character.

• Princess Daisy

• Princess Mara

• Princess Peach

• Princess Rosalina

Tags

CCSS.RI.11-12.5

CCSS.RI.6.5

CCSS.RI.7.5

CCSS.RI.8.5

CCSS.RI.9-10.5