PROBLEMS ON SCATTER PLOT AND LINE OF BEST FIT

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Step 1 :

Make a scatter plot of the data.

Step 2 :

Decide whether the data can be modeled by a line

Step 3 :

Draw a line that appears to fi t the data closely. There should be approximately as many points above the line as below it.

Step 4 :

Write an equation using two points on the line. The points do not have to represent actual data pairs, but they must lie on the line of fit.

Problem 1 :

The table shows the weekly sales of a DVD and the number of weeks since its release. Write an equation that models the DVD sales as a function of the number of weeks since its release. Interpret the slope and y-intercept of the line of fit.

Week (x)

1

2

3

4

5

6

7

8

Sales(millions y)

$19

$15

$13

$11

$10

$8

$7

$5

Solution :

By plotting these points and drawing the line of best fit, we get

problems-on-line-of-best-fit-q1

choosing two points on the line of best fit, we get (5, 10) and (6, 8)

Slope (m) = (y2 - y1)/(x2 - x1)

= (8 - 10) / (6 - 5)

= -2/1

= -2

Slope is -2.

Equation of line of best fit :

y = mx + b

y = -2x + b

The line passes through the point (5, 10)

10 = -2(5) + b

10 = -10 + b

10 + 10 = b

b = 20

Applying the value of b, we get

y = -2x + 20

So, the line of best fit is y = -2x + 20.

Interpreting slope :

For every 1 week sales is decreasing by 2 millions.

Interpreting y-intercept :

At the beginning, the initial number of DVD's is 20 millions.

Problem 2 :

The following data pairs show the monthly income x (in dollars) and the monthly car payment y (in dollars) of six people: (2100, 410), (1650, 315), (1950, 405), (1500, 295), (2250, 440), and (1800, 375).

Write an equation that models the monthly car payment as a function of the monthly income. Interpret the slope and y-intercept of the line of fit.

Solution :

By plotting these points and drawing the line of best fit, we get

problems-on-line-of-best-fit-q2.png

choosing two points on the line of best fit, we get (1650, 315) and (1950, 405)

Slope (m) = (y2 - y1)/(x2 - x1)

= (405 - 315) / (1950 - 1650)

= 90/300

= 0.3

Slope is 0.3

Equation of line of best fit :

y = mx + b

y = 0.3x + b

The line passes through the point (1650, 315)

315 = 0.3(1650) + b

315 = 495 + b

b = 315 - 495

b = -180

Applying the value of b, we get

y = 0.3x - 180

So, the line of best fit is y = 0.3x - 180

Interpreting slope :

Monthly car payment will increase by 0.3 for 1 dollar increase of monthly income.

Interpreting y-intercept :

At the beginning, the initial monthly payment is 180 dollars.

Problem 3 :

The scatter plot shows the hard drive capacities (in gigabytes) and the prices (in dollars) of 10 laptop

problems-on-line-of-best-fit-q3.png

a. What is the price of the laptop with a hard drive capacity of 8 gigabytes?

b. What is the hard drive capacity of the $1200 laptop?

c. What tends to happen to the price as the hard drive capacity increases?

Solution :

a) By observing the scatter plot it is very clear that the price of laptop with a hard drive of capacity 8 gigabytes is 1100 dollars

b) The hard drive capacity of $1200 laptop is 12 gigabytes.

c) It shows the positive relationship between the capacity and rate, when price increases the capacity also increase.

Problem 4 :

The table shows the world birth rates y (number of births per 1000 people) x years since 1960.

x
 (year)

0

10

20

30

40

50

y

(birth rate)

35.4

33.6

28.3

27

22.4

20

a. Write an equation that models the birthrate as a function of the number of years since 1960.

b. Interpret the slope and y-intercept of the line of fit.

Solution :

a) By plotting the points in the graph and drawing line of best fit, we get

problems-on-line-of-best-fit-q4.png

choosing two points on the line of best fit, we get (10, 33.6) and (40, 22.4)

Slope (m) = (y2 - y1)/(x2 - x1)

= (22.4 - 33.6) / (40 - 10)

= -11.2/30

= -0.37

= -37/100

Slope is -37/100

Equation of line of best fit :

y = mx + b

y = (-37/100)x + b

The line passes through the point (10, 33.6)

33.6 = (-37/100)(10) + b

33.6 = -370/100 + b

33.6 = -3.7 + b

b = 33.6 + 3.7

b = 37.3

Applying the value of b, we get

y = (-37/100)x + 37.3

So, the line of best fit is y = (-37/100)x + b

Interpreting slope :

Birth rate is decreasing 0.37 for every 100 births.

Interpreting y-intercept :

At the year of 1960, the birth rate is 37.3.

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