[table][tr][td]Figure A[/td][td]Figure B[/td][td]Figure C[/td][/tr][tr][td][img]data:image/png;base64,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[/img][/td][td][img]data:image/png;base64,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[/img][/td][td][img]data:image/png;base64,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[/img][/td][/tr][/table][br][br]Write an expression to represent the area of each shaded figure when the side length of the large square is as shown in the first column.
[img]data:image/png;base64,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[/img][br][br]If the pattern continues, what will we see in Step 5 and Step 18?
How many small squares are in each of these steps? Explain how you know.[br]
Write an equation to represent the relationship between the step number [math]n[/math] and the number of squares [math]y[/math]. Be prepared to explain how each part of your equation relates to the pattern. [br](If you get stuck, try making a table.)[br]
For the original step pattern in the statement, write an equation to represent the relationship between the step number [math]n[/math] and the perimeter, [math]P[/math].[br]
For the step pattern represented by the equation [math]y=n^2-1[/math], write an equation to represent the relationship between the step number [math]n[/math] and the perimeter, [math]P[/math].[br]
Are these linear functions?[br]
Kiran says that the pattern is growing linearly because as the step number goes up by 1, the number of rows and the number of columns also increase by 1. Do you agree? Explain your reasoning.[br]
To represent the number of squares after [math]n[/math] steps, Diego and Jada wrote different equations. Diego wrote the equation [math]f\left(n\right)=n\left(n+2\right)[/math]. Jada wrote the equation [math]f\left(n\right)=n^2+2n[/math]. [br]Are either Diego or Jada correct? Explain your reasoning.[br]