Line of Best Fit 10.16

Line of Best Fit 10.16

9th - 10th Grade

13 Qs

quiz-placeholder

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Line of Best Fit 10.16

Line of Best Fit 10.16

Assessment

Quiz

Mathematics

9th - 10th Grade

Medium

CCSS
HSA.CED.A.2, 8.F.A.1, 8.EE.C.8C

+7

Standards-aligned

Used 9+ times

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13 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

Find the quadratic equation for the relationship of the horizontal distance and the height of the ball.

-18x2 + 2.11x + 4.21
-.06x2 +1.06x + 7.9
-6x2 +1.06x + 79
-.12x2 + 2.11x + 4.22

Tags

CCSS.HSA.CED.A.1

CCSS.HSA.CED.A.2

CCSS.HSA.REI.D.10

CCSS.HSA.SSE.A.1

2.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

Calculate the quadratic regression function for this table of values to the nearest tenth.

f(x) =
 2x2 - 9x + 10
f(x)=
 3x2 + 9x - 10
f(x) =
 3.1x2 - 9.2x - 10.3
f(x) =
2.1x2 - 8.6x + 10.1

Tags

CCSS.8.F.A.1

CCSS.8.F.A.2

3.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image

The linear regression equation for the data is  y = 1.5x + 12.  Use the equation to predict the cost of a pizza that has 8 toppings.

$8
$12
$24
$28

Tags

CCSS.8.EE.C.8C

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What type of correlation does this scatter plot show?

positive linear association
negative linear association
no association
nonlinear association

Tags

CCSS.HSF-LE.A.1B

5.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

What would the curve of fit be for this data?:


{(-15, 53.5), (-14, 28), (-3, 18), (0, 4), (6, 27), (14, 50)}

y = .17x2+.45x+12.43

y = .16x2+.45x+12.42

y = -.04x + 30

y = -.03x + 30

6.

MULTIPLE CHOICE QUESTION

2 mins • 1 pt

Media Image

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

Tags

CCSS.HSA.CED.A.2

CCSS.HSS.ID.B.6

CCSS.HSS.ID.C.7

7.

MULTIPLE CHOICE QUESTION

5 mins • 1 pt

Media Image

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

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