Quiz: Equations from Data Tables

Which equation matches the table?

• $y\ =\ 3x\ +\ 9$

• $y\ =\ \frac{1}{3}x+9$

• $y\ =\ 9x\ +\ 3$

• None of the Above

What is the equation for this table?

• $y=\frac{3}{5}x-1$

• $y=\frac{2}{5}x$

• $y=\frac{2}{5}x-1$

• $y=-x-3$

What is the equation for this table?

• $y=\frac{1}{3}x+7$

• $y=3x+8$

• $y=\frac{3}{2}x+1$

• $y=6x-1$

What type of association does this graph have?

• positive
• negative
• none
• all of the above

Tags

CCSS.HSF-LE.A.1B

Which sentence describes the relationship shown on this scatter plot?

• The more time spent training, the longer it takes to run 100 m.  
• As the time spent training increases, the time to run 100 m decreases. 
• As the time spent training decreases, the time to run 100 m decreases. 

Tags

CCSS.HSF-LE.A.1B

The graph shows a line of best fit for data collected on the amount of income earned by lawn companies in relation to the number of yards mowed. What is the equation of the line of best fit?

• $y=\frac{3}{2}x$

• $y\ =\ 30x$

• $y\ =\ \frac{2}{3}x$

• $y\ =\ 30x\ +\ 300$

The graph shows a line of best fit for data collected on the price of a unit in relation to the number of units sold. What is the equation of the line of best fit?

• $y\ =\ \frac{1}{2}x+40$

• $y\ =\ -2x+40$

• $y\ =\ -\frac{1}{2}x+40$

• $y\ =\ 2x+10$

Rich is a member of a gym. He pays a monthly fee plus a per-visit fee. The equation below represents the monthly amount Rich pays for his membership to the gym per month for x visits.

y= 10 + 3x

What does the y-intercept of the graph of this equation represent?

• The monthly fee

• How much Rich pays per visit

• The number of times Rich goes to the gym

• The total cost at the end of the month

Tags

CCSS.HSF.LE.B.5

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

Tags

CCSS.HSF-LE.A.1B