Line of Fit Equation Prediction

Write an equation for the line of fit shown in the scatter plot pictured.

(a)  

• For every additional book read, the reading score decreases by 4 points.

• For every additional book read, the reading score increases by 4 points.

• The starting reading score is 4 points.

• The starting reading score is 10 points.

Tags

CCSS.HSF.LE.B.5

• The y-intercept is 7, representing the initial value before any changes.

• The y-intercept is 20, representing the starting point before any independent variable effects.

• The y-intercept is 7, representing the rate of change per unit of the independent variable.

• The y-intercept is 20, representing the rate of change per unit of the independent variable.

Tags

CCSS.HSF.LE.B.5

Tags

CCSS.HSF.LE.B.5

• 20

• 1415

• 37

• 24

Tags

CCSS.HSF.BF.A.2

Find the equation of the Line of Best Fit from the data set. 

• y = 0.892x - 1.82
• y = 1.82x - 5.02
• y = 0.796x + 5.02
• y = 1.82x + 5.02

• The initial value of y when x is 0, indicating the starting level.

• The slope of the line, indicating the rate of increase per unit of x.

• The maximum value that y can reach as x increases.

• The minimum value of x needed to achieve a positive y.

Tags

CCSS.HSF.LE.B.5

Tags

CCSS.HSF.LE.B.5

• Every dollar spent on advertising decreases sales by 2 units.

• Every dollar spent on advertising increases sales by 2 units.

• For every 2 dollars spent, sales increase by one unit.

• Advertising has no impact on sales as indicated by the slope.

Tags

CCSS.HSF.LE.B.5

Write an equation for the line of fit (using x & y) on the scatter plot pictured.

• y = 4x-80

• y=x+80

• y=4x+80

• y=-4x+80