Interpret Slope and Y Intercept from a Line of Best Fit

Use a graphing calculator to find the equation of the line of best fit for the data. Round your slope to the nearest tenth and the y-intercept to the near whole number.

• The slope is 2 which means that each month the number of cats that are adopted increases by 2. 

• The slope is 2 which means that each month the number of cats that are adopted decreases by 2. 

• The slope is 2 which means that every 2 months the number of cats that are adopted increases by 1. 

• The slope is 2 which means that every 2 months the number of cats that are adopted decreases by 1. 

Tags

CCSS.HSF.LE.B.5

Interpret the slope.

• The price drops by $40 for every unit.

• The price drops by $2 for every unit.

• The price was $40 in the beginning.

• The price was $2 in the beginning.

Interpret the y-intercept.

• The price drops by $40 for every unit.

• The price drops by $2 for every unit.

• The price was $40 in the beginning.

• The price was $2 in the beginning.

Tags

CCSS.HSF.LE.B.5

Which of the following lines represents the line of best fit for the scatter plot?

• A

• B

• C

• D

Tags

CCSS.8.EE.B.5

The linear regression equation for the data is  y = 1.5x + 12.  Interpret the slope of the equation.

• The slope is (0, 1.5).  It means that a pizza with 0 toppings will cost $1.50.

• The slope is 1.5.  It means that it costs $1.50 per topping.

• There are 1.5 toppings.

• There are 1.5 pizzas.

Tags

CCSS.HSF.LE.B.5

The linear regression equation is y = 61.93x - 1.79. Identify the y-intercept of the equation.

• Y-Int = 61.93

• Y-Int = -1.79

• Y-Int = (-1.79, 0)

• Y-Int = (0, 61.93)

Tags

CCSS.HSF.LE.B.5

The linear regression equation is y = 61.93x - 1.79.  Identify the slope of the equation.

• Slope = 61.93

• Slope = -1.79

• Slope = (0, -1.79)

• Slope = (0, 61.93)

Tags

CCSS.HSF.LE.B.5

Which of the following could be a possible line of best fit for the data?

• y = -5/2x + 20

• y = -x + 19

• y = x + 20

• y = 2/3x + 15 

Tags

CCSS.8.EE.B.5

Data was collected on the weight of a male  laboratory rat for the first 25 weeks after its birth. The linear regression equation is 
y= 40x+100, where x is number of weeks and y is weight in grams. 
What does the y-intercept mean in context of the problem?

• The predicted weight of the rat in year 0. 

• The predicted weight of the rat at birth. 

• The current weight of the rat. 

• The average increase in the rat's weight. 

Tags

CCSS.HSF.LE.B.5