Uncovering the Linear Relationships in Production & Sales of Yearbooks

In summary, the conversation discusses the use of linear regression and graphing calculators to find the best fit line for data tables. It also involves modeling the amount of oil in two tanks using a linear equation and solving a linear system to calculate profit or loss. The conversation also mentions a website for Linear Regression capabilities.
  • #1
alyssa
5
0
Linear Systems

1 . Use your graphing calculator and linear regression to find the best fit line for each of these data tables .

A ) x 1.5 0.8 3.5 8.5 6.8 7.5
Y 7.0 5.9 11.9 24.5 21.5 22.5

B ) x 12 9 3 11 7 2
Y 8 45 120 20 70 133

2 . Two large tanks are sitting next to one another . When an engineer started timing , the first tank had 2400L of oil in it while the second tank had only 985L in it . However , the first was losing oil at a rate of 35L every 8 minutes while the second tank was gaining oil at the rate of 42L every 5 minutes . Model the amount of oil in each tank using a linear equation . Carefully define the variables you use . After how many minutes will the two tanks have the same amount of oil in them ?



A local high school produced a special yearbook for the graduating class . The following table was prepared by the business manager of the school .

Number of Yearbooks Sold Production Cost Sales Revenue
( N ) ( C in $ ) ( S in $ )

15 682.50 187.50
76 1262.00 950.00
124 1718.00 1550.00
255 2962.50 3187.50
312 3504.00 3900.00

1 . Use linear regression to find C as a function of N .

2 . Use linear regression to find S as a function of N .

3 . Write these two equations as a linear system using the variables x and y .

4 . Use your calculator to find the break-even point . Copy down the window settings that you used .

5. Use either substitution or elimination to solve the linear system that you developed in # 3 . Show all of your steps .

6. Use the linear system to calculate the profit or loss when 120 , 240 , 318 , and 146 books are sold . Show your calculations .
 
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  • #2
alyssa said:
Linear Systems

1 . Use your graphing calculator and linear regression to find the best fit line for each of these data tables .

A ) x 1.5 0.8 3.5 8.5 6.8 7.5
Y 7.0 5.9 11.9 24.5 21.5 22.5

B ) x 12 9 3 11 7 2
Y 8 45 120 20 70 133
If you need Linear Regression capabilities, try the following Web Site:
http://www.arachnoid.com/polysolve/
Allow time to load program, scroll down to page bottom, input data pairs in data area like example, select "Polynomial" regression of Degree "1" for linear fit, regression equation is given below graph in "Results" area.


~~
 
Last edited:
  • #3
the program won't load on my computer :cry: I'm so dead .
 

1. How do you define a linear relationship?

A linear relationship is a mathematical relationship between two variables that can be represented by a straight line on a graph. This means that as one variable changes, the other changes in a constant and proportional manner.

2. What is the significance of uncovering linear relationships in production and sales of yearbooks?

Uncovering linear relationships in production and sales of yearbooks can provide valuable insights for businesses and organizations in terms of understanding the demand for their products and services. It can also help in making informed decisions about production levels, pricing, and marketing strategies.

3. How can you identify a linear relationship in production and sales of yearbooks?

To identify a linear relationship in production and sales of yearbooks, you will need to plot the data points on a scatter plot and see if they form a straight line. You can also calculate the correlation coefficient, which measures the strength and direction of the linear relationship.

4. What factors can affect the linear relationship between production and sales of yearbooks?

Some factors that can affect the linear relationship between production and sales of yearbooks include changes in consumer preferences, economic conditions, and competition. Other internal factors such as production costs and marketing efforts can also impact the relationship.

5. How can the insights from uncovering linear relationships be used in decision making for yearbook production and sales?

The insights from uncovering linear relationships can be used in decision making for yearbook production and sales by helping businesses and organizations to forecast demand, adjust production levels, set prices, and develop effective marketing strategies. It can also aid in identifying potential issues and areas for improvement in the production and sales process.

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