HOMELESSNESS

Christina Nardella

cnardella@schools.nyc.gov

The Scholars’ Academy

 

The Problem

Across the United States, more than 500,000 people are experiencing homelessness at any given moment.  Many had homes but lost them when they could no longer afford the rent. They live in every state and territory, and they reflect the diversity of our country.

Introduction

Homelessness is a national problem that has reached a crisis level in New York City. If you live here, you encounter this reality every day. On the subway, on the street, at school, and at work, we interact with colleagues, friends, and neighbors who are experiencing, or are at risk of, homelessness. Everyone wants a safe home where they can rest their head at night, and everyone wants to experience the enormous possibilities of living in the greatest city in the world. But, for approximately 90,000 of our fellow New Yorkers, realizing those possibilities is complicated by the experience of homelessness.

 

As a fellow New Yorker, you will be conducting research into the trends of homelessness, annual rent and annual income in NYC and try to find a solution to help keep our fellow New Yorkers off the streets.

Task

At the end of this WebQuest your group will:

  1. Create graphs to show trends in the annual income and annual rent in NYC, and analyze these graphs to explain why the homeless population is on a steady incline.
  2. Determine the linear regression equations for the annual income and annual rent and explain what these mean.
  3. Create a digital presentation to share findings and propose solutions.

Process/Resources

Your finished presentation should identify the following 6 steps:

  1. Define a Problem (Homelessness in NYC)
  2. Gather Evidence (from tables and the graphs you created on Day 2)
  3. Identify the Causes (based on the information you learned from gathering evidence)
  4. Evaluate an Existing Policy
  5. Develop Solutions
  6. Select the Best Solution

______________________________________________________________________________________

Day 1:

       Amazon HQ2: Watch this news clip about Amazon’s decision to build a second headquarters, “HQ2.” It promised 50,000 new highly-paid jobs and invited cities to apply to be home of the so-called “HQ2.”

       Discuss the following bullet points in your groups:

       Discuss possible upsides and downsides of a company like Amazon moving to your area.

       If you were the mayor of a city or town, would you want Amazon to build its new headquarters in your area? Why?

       How would you prevent or address negative consequences like homelessness?

       Individually respond to the following padlet.

______________________________________________________________________________________

Day 2:

       The table of values presents the median annual income and median annual rent for a household in New York from 2010 to 2019.

Years

(since 2010)

0

1

2

3

4

5

6

7

8

9

Median Annual Income ($)

72,770

70,997

71,375

72,317

72,496

74,181

76,596

78,604

79,900

83,160

 

Years

(since 2010)

0

1

2

3

4

5

6

7

8

9

Median Annual Rent ($)

15,420

15,384

15,432

15,636

16,224

16,656

16,908

17,064

17,520

17,784

       You will be working in groups of 3 to complete the following:

     Create a scatter plot for the median annual income vs. year to show how the median annual income for a household changed in New York City.

     Determine the linear regression equation for the annual income and sketch the line of best fit on the scatter plot you created to show the trends in the median annual income vs. year.

     Create a scatter plot for the median annual rent vs. year to show how the median annual rent changed in New York City.

     Determine the linear regression equation for the annual rent and sketch the line of best fit on the scatter plot you created to show the trends in the median annual rent vs. year.

     Based on the graphs, would you conclude that the typical household was better off or worse off over time? Explain.

       What do the linear regression equations tell you, and how do you expect this would affect residents there?

______________________________________________________________________________________

Day 3

       Watch this video: Seeking Shelter: Across the United States, more than 500,000 people are experiencing homelessness at any given moment. Many had homes but lost them when they could no longer afford the rent.

       In your groups of 3, discuss the following:

       Analyze the two graphs below describing homelessness in New York and explain what they tell you.

       Based on this, if you sketched a graph of the city's homeless population vs. its median income, what do you expect it would look like?

       THE BIG REVEAL!

       Total Homeless vs. Annual Rent

       Total Homeless vs. Annual Income

Evaluation

You will be graded on group work, the presentation (slides), the dot plots and linear regression equations created, and your analysis of the information provided using the rubric below:

 

Task

0-1

2

3

Group Work

Is not able to: Engage effectively in a range of collaborative discussions with diverse partners; express ideas clearly and persuasively and build on those of others.

Is sometimes able to: Engage effectively in a range of collaborative discussions with diverse partners; express ideas clearly and persuasively and build on those of others.

Is able to: Engage effectively in a range of collaborative discussions with diverse partners; express ideas clearly and persuasively and build on those of others.

Presentation of Knowledge

Group Included 1-2 digital media and visual displays in presentations to emphasize and enhance central ideas or themes.

Group Included 3-4 digital media and visual displays in presentations to emphasize and enhance central ideas or themes.

Group Included 5 or more digital media and visual displays in presentations to emphasize and enhance central ideas or themes.

Mathematical Knowledge

(creating scatter plots & linear regression equation)

Did not graph survey data that represented real world and mathematical problems by graphing points that interpret coordinate values of points in the context of the situation.

Did not graph survey data that represented real world and mathematical problems by graphing points that interpret coordinate values of points in the context of the situation.

Graphed all survey data that represented real world and mathematical problems by graphing points that interpret coordinate values of points in the context of the situation.

Analysis of Content

Project does not make connections between homelessness and the rise in median annual rent and annual household income using the data from the linear regression equations.

Project mentions connections between homelessness and the rise in median annual rent and annual household income using the data from the linear regression equations.

Project provides legitimate connections between homelessness and the rise in median annual rent and annual household income using the data from the linear regression equations.

 

Conclusion

Our fellow New Yorkers thank you for analyzing and suggesting some possible solutions for homelessness in NYC.

By the end of this assignment, you should have learned…

       New York average incomes have risen over time. As incomes have risen, so have rents.

       As rents rise, some people are no longer able to afford their homes and become homeless.

       Local leaders face a challenge in recruiting high-paying jobs while ensuring their areas remain affordable to the less well-off.

Common Core State Standards

CCSS.MATH.CONTENT.HSS.ID.B.6

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.

CCSS.MATH.CONTENT.HSS.ID.B.6.A

Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.

CCSS.MATH.CONTENT.HSS.ID.B.6.B

Informally assess the fit of a function by plotting and analyzing residuals.

CCSS.MATH.CONTENT.HSS.ID.B.6.C

Fit a linear function for a scatter plot that suggests a linear association.

CCSS.MATH.CONTENT.HSS.ID.C.7

Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.

CCSS.MATH.CONTENT.HSS.ID.C.9

Distinguish between correlation and causation.

CCSS.ELA-LITERACY.RH.6-8.7

Integrate visual information (e.g., in charts, graphs, photographs, videos, or maps) with other information in print and digital texts.

CCSS.ELA-LITERACY.RI.8.2

Determine a central idea of a text and analyze its development over the course of the text, including its relationship to supporting ideas; provide an objective summary of the text.