# Moving Straight Ahead: Project 2: Ball Bounce Experiment

Students investigate how the drop height of a ball is related to the bounce height. Students make predictions based on their data.

## Materials needed

- Meter Stick or measuring tape
- Ball that bounces
- Graph paper or online graphing tool
- Labsheet (optional)

## Adaptions and Notes

- Graphing can be done digitally with a screen shot or some other documentation sent to you.
- Additional Questions can be asked after students have collected their data.

## Possible CCSS

### Grade 7

#### Ratios and Proportional relationships 7.RP

**Analyze proportional relationships and use them to solve real-world and mathematical
problems.**

2. Recognize and represent proportional relationships between quantities.

a. Decide whether two quantities are in a proportional relationship, e.g., by testing for equivalent ratios in a table or graphing on a coordinate plane and observing whether the graph is a straight line through the origin.

c. Represent proportional relationships by equations.

*For example, if total cost t is proportional to the number n of items purchased at
a constant price p, the relationship between the total cost and the number of items
can be expressed as t = pn.*

#### Expressions and Equations 7.EE

**Solve real-life and mathematical problems using numerical and algebraic expressions
and equations.**

4. Use variables to represent quantities in a real-world or mathematical problem, and construct simple equations and inequalities to solve problems by reasoning about the quantities.

### Grade 8

#### Expressions and Equations 8.EE

**Understand the connections between proportional relationships, lines, and linear equations.**

5. Graph proportional relationships, interpreting the unit rate as the slope of the graph. Compare two different proportional relationships represented in different ways.

*For example, compare a distance-time graph to a distance-time equation to determine
which of two moving objects has greater speed.*

#### Functions 8.F

**Define, evaluate, and compare functions.**

1. Understand that a function is a rule that assigns to each input exactly one output. The graph of a function is the set of ordered pairs consisting of an input and the corresponding output.

3. Interpret the equation y = mx + b as defining a linear function, whose graph is a straight line; give examples of functions that are not linear.

*For example, the function A = s2 giving the area of a square as a function of its
side length is not linear because its graph contains the points (1,1), (2,4) and (3,9),
which are not on a straight line.*

**Use functions to model relationships between quantities.**

4. Construct a function to model a linear relationship between two quantities. Determine the rate of change and initial value of the function from a description of a relationship or from two (x, y) values, including reading these from a table or from a graph. Interpret the rate of change and initial value of a linear function in terms of the situation it models, and in terms of its graph or a table of values.

5. Describe qualitatively the functional relationship between two quantities by analyzing a graph (e.g., where the function is increasing or decreasing, linear or nonlinear). Sketch a graph that exhibits the qualitative features of a function that has been described verbally.

#### Statistics and Probability 8.SP

**Investigate patterns of association in bivariate data.**

1. Construct and interpret scatter plots for bivariate measurement data to investigate patterns of association between two quantities. Describe patterns such as clustering, outliers, positive or negative association, linear association, and nonlinear association.

2. Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.

Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept.

*For example, in a linear model for a biology experiment, interpret a slope of 1.5
cm/hr as meaning that an additional hour of sunlight each day is associated with an
additional 1.5 cm in mature plant height.*