# data[].attributes.body
1- Minimum
2-(0,0)
3-(0,0)(0,-2)
4- -1
5- -1

# data[].attributes.body
1.Minimum
2.(0,0)
3.(0.0) (0,-2)
4.-1
5.(-1,-1)

# data[].attributes.body
min(-1,-1)
y-int(0,0)
zeros(0,0) (-2,0)
(-1,1)
-1

# data[].attributes.body
1.minimum
2.(0,0)
3.(-2,0) (0,0)
4.(-1,-1)
5.-1

# data[].attributes.body
1. Minimum
2.(0,0)
3. (0,0) (-2,0)
4. (-1,1)
5. -1

# data[].attributes.body
1 .Minimum value
2 .Y-int=(0,0)
3 .Zeros (0,0)(0,-2)
4. Vertex (-1,-1)
5. Axis of symmetry (-1,-1)

# data[].attributes.body
1.minumum value(-1,-1)
2.(0,0)
3(-2,0)(0,0)
4.

# data[].attributes.body
1. Minimum
2.(0,0)
3.(-2,0) and (0,0)
4.(-1,-1)
5.-1

# data[].attributes.body
1. Minimum
2. (0,0)
3. (-2,0)(0,0)
4.(-1,-1)
5. -1

# data[].attributes.body
1. Minimum
2.(0,0)
3. (0,0) (-2,0)
4. (-1,1)
5. -1

# data[].attributes.body
min
0,0
0,2
-1

# data[].attributes.body
min(-1,-1)
y-int(0,0)
zeros (0,0) (-2,0)
(-1,-1)
(-2,0)

# data[].attributes.body
minimum      vertex (-1,-1)
y intercept (0,0) zeros ( -2,0) , (0,0)
(-1,-1)
-1

# data[].attributes.body
1.(-1,-1) minimum
2.(0,0)
3.(-2,0)(0,0)
4.(-1,-1)
5.-1

# data[].attributes.body
1)Minimum
2)(0,0)
3)(0,0) and (-2,0)
4)(-1,-1)
5)-1

# data[].attributes.body
1. minimum
2. (0,0)
3. (0,0) (-2,0)
4. (-1,-1)
5. -1

# data[].attributes.body
!. Minimum
2. (0,0)
3. (-2,0)(0,0)
4. (-1,1)
5. -1

# data[].attributes.body
1.Minimum value
2.(0,0)
3.(-2,0)(0,0)
4.(-1,-1)
5.-1

# data[].attributes.body
1.  Minimum
2. (0,0) (0,-2)
3. (0,0) (-2,0)
4.(-1,-1)
5. -1

# data[].attributes.headline
Identify the aspects of the quadratic function .

# data[].attributes.subject
Identify the aspects of the quadratic function .

# data[].attributes.body
1. Minimum/maximum value
2. y-intercept
3. Zeros
4. Vertex
5. Axis of symmetry(x-value)