Determine the Line of Best Fit

find line of best fit using calculator through these points (0,0)(1,2) (3,5) (6,7)

• y=65x+7

• y=1.14x+.64

• y=1.5x+64

Tags

CCSS.8.EE.B.5

What is a line of best fit used for?

• To make predictions

• To make the graph look pretty

• To connect the points

• To make it look like you know what you are doing

Tags

CCSS.8.EE.B.5

Is this line an accurate line estimate of best fit for the data?

• Yes

• No

Tags

CCSS.8.EE.B.5

The graph below shows the value of a computer given the age of the computer. Which equation would best fit the data?

• y = -250x + 2000

• y = 250x + 2000

• y = -250x - 2000

• y = 2000x -250

The graph above shows a line of best fit for data collected on the distance bicyclists have remaining in relation to the amount of time they have been riding.  What is the equation of the line of best fit?

• y = -25x + 170

• y = 25x + 170

• y = -(5/8) x + 170

• y = (5/8) x + 170

Tags

CCSS.HSF.LE.B.5

Caroline weighs her new puppy every month to see how much it has grown. If age is a and weight is W, which of these is the correct equation for the line of best fit?

• W = 3.6 + 8.9

• W = 3.6a + 8.9

• a = 8.9W + 3.6

• W = 8.9a + 3.6

The table shows the height of a tree for various years after it was planted. Using the line of best fit, how tall would the tree be 30 years after it was planted?

• 22 feet

• 23 feet

• 36 feet

• 37 feet

The table shows the height and shoe sizes of several students. Use the line of best fit to predict a student's height if they wear a size 7 shoe.

• 35 inches

• 59 inches

• 17 inches

• 63 inches

Tags

CCSS.HSF-LE.A.1B

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

What is the purpose of a line of best fit?

• To go through every point

• To make predictions about the data

• To go through none of the points

• To tell you absolutely everything about a data set