IM Alg1.6.1 Practice: A Different Kind of Change

Here are a few pairs of positive numbers whose sum is 50. Find the product of each pair of numbers.
Find a pair of numbers that have a sum of 50 and will produce the largest possible product.[br]
Explain how you determined which pair of numbers have the largest product.[br]
Here are some lengths and widths of a rectangle whose perimeter is 20 meters. Complete the table.
What do you notice about the areas?
Without calculating, predict whether the area of the rectangle will be greater or less than 25 square meters if the length is 5.25 meters.[br]
On the coordinate plane, plot the points for length and area from your table.
Do the values change in a linear way?
Do they change in an exponential way?
[size=150]The table shows the relationship between [math]x[/math] and [math]y[/math], the side lengths of a rectangle, and the area of the rectangle.[/size][br][br][img]data:image/png;base64,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[/img][br][br]Explain why the relationship between the side lengths is linear.
Explain why the relationship between [math]x[/math] and the area is neither linear nor exponential.[br]
Which statement best describes the relationship between a rectangle's side length and area as represented by the graph.
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[/img]
Copies of a book are arranged in a stack. Each copy of a book is 2.1 cm thick. Complete the table.
What do you notice about the differences in the height of the stack of books when a new copy of the book is added?[br]
What do you notice about the factor by which the height of the stack of books changes when a new copy is added?[br]
How high is a stack of [math]b[/math] books?[br]
[size=150]The value of a phone when it was purchased was $500. It loses [math]\frac{1}{5}[/math] of its value a year.[/size][br][br]What is the value of the phone after 1 year? [br]
What about after 2 years?
3 years?
[size=150]Tyler says that the value of the phone decreases by $100 each year since [math]\frac{1}{5}[/math] of 500 is 100. [/size][br]Do you agree with Tyler? Explain your reasoning.[br]
The data in the table represents the price of one gallon of milk in different years.
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[/img][br]
Use graphing technology to create a scatter plot of the data.
Does a linear model seem appropriate for this data? Why or why not? [br]
If the data seems appropriate, create the line of best fit. Round to two decimal places. [br]
What is the slope of the line of best fit, and what does it mean in this context? Is it realistic?[br]
Give a value for [math]r[/math] that indicates that a line of best fit has a negative slope and models the data well.
What is the [math]y[/math]-intercept of the line of best fit, and what does it mean in this context? Is it realistic?[br]
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Information: IM Alg1.6.1 Practice: A Different Kind of Change