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Here are a few pairs of positive numbers whose sum is 50.
| first number | second number | product |
|---|---|---|
| 1 | 49 | |
| 2 | 48 | |
| 10 | 40 |
Here are some lengths and widths of a rectangle whose perimeter is 20 meters.
Complete the table. What do you notice about the areas?
| length (meters) |
width (meters) |
area (square meters) |
|---|---|---|
| 1 | 9 | |
| 3 | 7 | |
| 5 | ||
| 7 | ||
| 9 |
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?
The table shows the relationship between \(x\) and \(y\), the side lengths of a rectangle, and the area of the rectangle.
| \(x\) (cm) | \(y\) (cm) | area (sq cm) |
|---|---|---|
| 2 | 4 | 8 |
| 4 | 8 | 32 |
| 6 | 12 | 72 |
| 8 | 16 | 128 |
Which statement best describes the relationship between a rectangle's side length and area, as represented by the graph?
As the side length increases by 1, the area increases and then decreases by an equal amount.
As the side length increases by 1, the area increases and then decreases by an equal factor.
As the side length increases by 1, the area does not increase or decrease by an equal amount.
As the side length increases by 1, the area does not change.
Copies of a book are arranged in a stack. Each copy of a book is 2.1 cm thick.
| copies of book | stack height in cm |
|---|---|
| 0 | |
| 1 | |
| 2 | |
| 3 | |
| 4 |
The value of a phone when it was purchased was \$500. It loses \(\frac{1}{5}\) of its value a year.
Technology required. The data in the table represents the price of one gallon of milk in different years.
Use graphing technology to create a scatter plot of the data.
| \(x\), time (years) | price per gallon of milk (dollars) |
|---|---|
| 1930 | 0.26 |
| 1935 | 0.47 |
| 1940 | 0.52 |
| 1940 | 0.50 |
| 1945 | 0.63 |
| 1950 | 0.83 |
| 1955 | 0.93 |
| 1960 | 1.00 |
| 1965 | 1.05 |
| 1970 | 1.32 |
| 1970 | 1.25 |
| 1975 | 1.57 |
| 1985 | 2.20 |
| 1995 | 2.50 |
| 2005 | 3.20 |
| 2018 | 2.90 |
| 2018 | 3.25 |
Give a value for \(r\) that indicates that a line of best fit has a negative slope and the variables are strongly correlated.