# data[].attributes.body
gradient= rise/run
=- 1/3
=-3

# data[].attributes.body
gradient= 3-0/8-4
=3/4
= 0.75

# data[].attributes.body
m=rise/run
=- 1/2
=-0.5

# data[].attributes.body
Rise = 6
Run = 1
Rise/Run = 6/1
Gradient = 6

# data[].attributes.headline
[Suggested solution] using RISE/RUN formula

# data[].attributes.subject
[Suggested solution] using RISE/RUN formula

# data[].attributes.headline
[Suggested solution] using RISE/RUN formula

# data[].attributes.subject
[Suggested solution] using RISE/RUN formula

# data[].attributes.headline
[Suggested solution] using RISE/RUN formula

# data[].attributes.subject
[Suggested solution] using RISE/RUN formula

# data[].attributes.headline
[Suggested solution] using RISE/RUN formula

# data[].attributes.subject
[Suggested solution] using RISE/RUN formula

# data[].attributes.headline
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.subject
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.headline
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.subject
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.headline
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.subject
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.headline
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.subject
[Suggested solution] using (x1, y1) & (x2, y2) formula

# data[].attributes.body
https://youtu.be/RrzBLFnXwt0

# data[].attributes.body
Rise = -3
Run = 4
Gradient = -3/4
= -0.75
Gradient is -0.75

# data[].attributes.body
Rise/Run
= 3-1/6-2
= -2/4
= -1/2
Gradient is -0.5

# data[].attributes.body
Rise/Run = 6-4/2-1 = 2/1
Gradient is 2

# data[].attributes.body
rise= 6-4
= 2
run=2-1
=1
therefore gradient =2/1
=2

# data[].attributes.body
M = -6/2
= -3

# data[].attributes.body
M = 3/2

# data[].attributes.body
M = -2/4
= -1/2

# data[].attributes.body
M = 2/1
=2

# data[].attributes.body
-3/1=-3
M=-3

# data[].attributes.body
M=3/2

# data[].attributes.body
M=-1/2

# data[].attributes.body
2/1=2
M=2

# data[].attributes.body
This photo shows the staircase at Block D.
Have you ever wonder how steep the steps are?

Download the photo.
Explore and try to figure out how you could find out how steep the staircase is.
You may upload the 'draft' and your 'findings' under your index number.

# data[].attributes.attachment_link.title
HBL 20220825 (Part 4 Optional) SST Block D Stairs.JPG

# data[].attributes.body
Remember to identify the 2 points and mark them on the diagram before substituting them into the formula.

# data[].attributes.body
Remember to identify the 2 points and mark them on the diagram before substituting them into the formula.

# data[].attributes.body
Remember to identify the 2 points and mark them on the diagram before substituting them into the formula.

# data[].attributes.body
Remember to identify the 2 points and mark them on the diagram before substituting them into the formula.

# data[].attributes.headline
TASK 3: Textbook Practice Now 3 Find the GRADIENT of each of the following

# data[].attributes.subject
TASK 3: Textbook Practice Now 3 Find the GRADIENT of each of the following

# data[].attributes.body
Find the gradient of each of the following.
Post your answers under your index number.
One photo for one part.