In this activity you will be investigating the rising cost of the MTA transit fa

In this activity you will be investigating the rising cost of the MTA transit fare over
a period of time in New York City. The goal is to use data to develop a simple
mathematical model which can be used to make some reasonable predictions.
You will incorporate the use of algebraic skills such as graphing, rate of change
and linear function to complete this activity.

In this activity you will be investigating the rising cost of the MTA transit fa

In this activity you will be investigating the rising cost of the MTA transit fare over
a period of time in New York City. The goal is to use data to develop a simple
mathematical model which can be used to make some reasonable predictions.
You will incorporate the use of algebraic skills such as graphing, rate of change
and linear function to complete this activity.

Choose a grade level (different than the grade level for your Project 2) and cre

Choose a grade level (different than the grade level for your Project 2) and create a four-day math lesson plan that focuses on one or more ″Geometry″ or ″Measurement and Data″ standards for that grade level. You may use one of the Lesson Plan templates in the Student DocsLinks to an external site. folder or you may modify one of these or create your own.
No matter which format you choose, every lesson plan should answer the three main questions:
What are you teaching?
How are you teaching it?
How will you know which students have learned?
Make sure your lesson plan includes the following:
You name
Grade level
A list of the Common Core standards practiced in this four-day activity. The list of standards must include at least one ″Geometry″ or ″Measurement and Data″ standard, but may include other standards. When identifying the standards, use the standards codes, such as “5.NBT.2” and the desсrіption of the standard.
A narrative describing the lead-in activity (the “hook”, anticipatory set, or “into” activity) for each day
A narrative describing the main activities each day, including what the teacher and students are doing during each activity of the lesson.
A timeline for each day indicating how long you predict each activity will take.
At least one math game for the week.
Provide a list of new vocabulary that will be used during these lessons.
Explain how you will know that each student learned the target concepts of this lesson. You may include any form of formal or informal assessment.
A reference page citing any printed or online resources you used.

Please submit your completed project as a Google Doc, Google Slides, an MS Word file or as a PDF.
Worksheets and games may be copied from other sources, but links to these resources must be included on your reference page. All narrative parts of this assignment must be your original work. If any narrative parts of your assignment are copied from another source, you will receive a zero on the assignment and will be reported to the college administration for plagiarism.
The last time I ask for help on a project similar to this I was missing lots of information. Please dont hesitate to ask questions. I am asking to do grade level 2.

Scenario Smart businesses in all industries use data to provide an intuitive ana

Scenario Smart businesses in all industries use data to provide an intuitive analysis of how they can get a competitive advantage. The real estate industry heavily uses linear regression to estimate home prices, as cost of housing is currently the largest expense for most families. Additionally, in order to help new homeowners and home sellers with important decisions, real estate professionals need to go beyond showing property inventory. They need to be well versed in the relationship between price, square footage, build year, location, and so many other factors that can help predict the business environment and provide the best advice to their clients. Prompt You have been recently hired as a junior analyst by D.M. Pan Real Estate Company. The sales team has tasked you with preparing a report that examines the relationship between the selling price of properties and their size in square feet. You have been provided with a Real Estate Data Spreadsheet spreadsheet that includes properties sold nationwide in recent years. The team has asked you to select a region, complete an initial analysis, and provide the report to the team. Note: In the report you prepare for the sales team, the response variable (y) should be the listing price and the predictor variable (x) should be the square feet. Specifically you must address the following rubric criteria, using the Module Two Assignment Template: Generate a Representative Sample of the Data Select a region and generate a simple random sample of 30 from the data. Report the mean, median, and standard deviation of the listing price and the square foot variables. Analyze Your Sample Discuss how the regional sample created is or is not reflective of the national market. Compare and contrast your sample with the population using the National Summary Statistics and Graphs Real Estate Data PDF document. Explain how you have made sure that the sample is random. Explain your methods to get a truly random sample. Generate Scatterplot Create a scatterplot of the x and y variables noted above. Include a trend line and the regression equation. Label the axes. Observe patterns Answer the following questions based on the scatterplot: Define x and y. Which variable is useful for making predictions? Is there an association between x and y? Describe the association you see in the scatter plot. What do you see as the shape (linear or nonlinear)? If you had a 1,800 square foot house, based on the regression equation in the graph, what price would you choose to list at? Do you see any potential outliers in the scatterplot? Why do you think the outliers appeared in the scatterplot you generated? What do they represent?