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Linear Regression

Linear Regression

Assessment

Presentation

•

Mathematics

•

KG

•

Medium

•
CCSS
8.EE.C.8C, HSS.ID.C.9, HSS.ID.B.5

+5

Standards-aligned

Created by

Tomika Briscoe

Used 18+ times

FREE Resource

11 Slides • 15 Questions

1

​Linear Regression

2

Multiple Choice

As x increases, y increases

1

A) correlation coefficient

2

B) causation

3

C) positive correlation

4

D) negative correlation

3

Multiple Choice

As x increases, y decreases.

1

A) no correlation

2

B) negative correlation

3

C) correlation coefficient

4

D) positive correlation

4

Multiple Choice

Average fat intake per citizen of a country and average cancer rate of a country.  r=.73r=.73  

1

strong positive

2

strong negative

3

weak positive

4

weak negative

5

I CAN......
  • create scatterplot on graphing calculator (DESMOS)

  • Determine line of best fit using a graphing calculator (linear regression.

  • Make a prediction using linear regression equation.

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6

Line of Best Fit

A line of best fit (or trend line) is a straight line that best represents the data on a scatter plot.

  • Always represents the general trend of the of the data.

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​aka Linear Regression Equation

7

Lines of Best Fit

The best line of fit goes through the center of the data, following the trend of the scatterplot

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8

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​Find the linear regression equation for the data set:

  1. Click the plus sign on DESMOS Graphing Calculator

  2. Click "table"

  3. Enter the values​

  4. On the next line​ under the table, type y1~mx1+b

  5. Desmos will give you m and b. Plug them into y=mx1+b to get your equation! 

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Equation is y=3x-1

9

Multiple Choice

Question image

A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.

1

y = 1.5x + 12

2

y = 12x + 1.5

3

y = 0.67x - 8

4

y = -8x + 0.67

10

y = 1.5x + 12

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11

Multiple Choice

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What is the line of best fit?

1

f(x)= 5x+1.82

2

cannot be determined

3

f(x)= 1.82x + 5.02

4

f(x)= 1.1x + 4.2

12

Equation: y=1.82x+5.02

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13

Multiple Choice

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The chart below tracts starting salaries for health care workers since the year 2000. Using linear regression, find the equation of best fit. Round decimals to 3 places.
1

y = 839.721x + 27541.812

2

y = 27541.812x - 839.721

3

y = 27541.812x + 839.721

4

y = 839.721x - 27541.812

14

Multiple Choice

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The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.
1

10 miles

2

617.5 miles

3

0.19 miles

4

500 miles

15

​Make predictions using the Linear regression equation
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​1.) Find linear regression equation.

2. ) Substitute value in for x.

3.) Find predication for y.

4.) Answer the question

16

y=61.93x - 1.79


y=61.93(10) - 1.79


= 619.3 - 1.79


= 617.5

​The person is predicted to travel 617.5 miles in 10 hours.

17

Multiple Choice

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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.
1

$8

2

$12

3

$24

4

$28

18

​Interpretation of Linear Regression Equation

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19

Multiple Choice

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

1

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

2

The slope is 1.5. It means that it costs 1.5 dollars per topping.

3

There are 1.5 toppings.

4

There are 1.5 pizzas.

20

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Which statement below is the best interpretation of the y-intercept for the best-fit line?

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21

Multiple Choice

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A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.

1

y = 61.93x - 1.79

2

y = -1.79x + 61.93

3

y = 0.016x + 0.03

4

y = 0.03x + 0.016

22

Multiple Choice

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Write the linear regression equation for the following data points. Round to the nearest hundredth.

1

y=−0.83x+0.61y=-0.83x+0.61

2

y=−0.83x+0.63y=-0.83x+0.63

3

y=0.83x+−0.8y=0.83x+-0.8

4

y = -0.828767x + 0.609589

23

Multiple Choice

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If Joe worked 30 hours, how much is he expected to earn?
1

$600

2

$200

3

$1000

4

$800

24

Multiple Choice

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Make a prediction for a resting heart rate after 6 hours of exercise a week.
1

6

2

50

3

55

4

59

25

Multiple Choice

Exit Ticket: What is the correlation coefficient and linear regression of the data set: (1,7) (2,4) (3,-1) (8,-9) (6,-3) (-1,10).

1

r = .98 & y = 7.9x - 2.1

2

r = .97 & y = 7.9x - 2.1

3

r = .95 & y = 7.9x - 2.1

4

r = .98 & y = -2.1x + 7.9

5

r = .97 & y = -2.1x + 7.9

26

Open Ended

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How well did you understand today's lesson? One of your classmates is absent today.  Write down one item that they should know based upon today’s lesson.

pattern-tertiary

​Linear Regression

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