# data[].attributes.body
Chandler M.

I saw lots of patterns. Counting by 2s, 5s, and 9s. Each of these patterns follows their own rule for example the 2s row is skip counting by 2. The 5 row you can skip count or add 5 to get the next number. The 9s row you add nine to each number to get the next missing number.

# data[].attributes.body
There are a lot of patterns. some are counting by 5's, and by other numbers. there are patterns all over the place.

# data[].attributes.body
River W.

I see a pattern of add 2. It works across and down. It works because the numbers at the top are the same as the side.

# data[].attributes.body
TJ Black

The pattern in the 5 column is add 5 to the number to get the next number or skip count by 5's.

# data[].attributes.body
9,18,27,36,45,54,63,72,81 that's the pattern I saw. It works that way because the rule is nine.

# data[].attributes.body
I saw a pattern in 5's. To find the missing numbers, you have to skip count by 5.

# data[].attributes.body
Brantley Hawkes

The pattern I see is the number of the left shows much that row goes up, so where the 2 is, that row goes up by 2's, for 5 it would go up by 5's and so on.

# data[].attributes.body
I see a pattern by nines as you go across.

Every time you multiply by a higher number, you add another nine. 9x0=0, 9x1=9, 9x2=18.

# data[].attributes.body
I saw a pattern in 5's . To find the missing numbers you skip count by 5's like 5,10,15,20,25,30,35,40,45.

# data[].attributes.body
L Rohrer

the patterns i see is like counting by ones or anything by a number but mine is 5.

5

5

5

5

5

that is mine or it can be this 5 10 15 20 25 30 35 40 45 50

# data[].attributes.body
One pattern I see is 2, 4, 6, 8, 10, 12, 14, 16, 18 and they go up by 2.

# data[].attributes.body
the patterns 3, 6, 9, 12 are adding by 3

# data[].attributes.body
3,6,9,12 are all patterns adding by 3

# data[].attributes.body
On my multiplication table the numbers I want to use are 0,5,10,15,20,25,30,35,40,45,50, the rule is adding 5.

# data[].attributes.body
The patterns I see are that when you go down or across on the 5s you are adding 5. The rule would be add 5. It is the same for 2 as well. 2,4,6,8,10 and so on. The rule would be add 2. Same with all the numbers. 1,2,3 2,4,6 3,6,9 4,8,12 5,10,15 6,12,18 7,14,21 8,16,24 9,18,27

Ainsley Runkle

# data[].attributes.body
I see all kinds of patterns. Like the 5's they go 0,5,10,15,20,25,30,35,40,45 and like the 9's the go 0,9,18,27,36,45,54,63,72,81.

The pattern works because you skip count by 5's and you skip count by 9's.

# data[].attributes.body
Artemis P.

A pattern I see is that in the 2's row and column it goes up by 2 each time. So I can skip count.

It works because when you multiply by a number you are skip counting by that number each time.

# data[].attributes.body
I see that there are many patterns in each rows and columns. Each row has their own patterns like the row 2, goes by 2 and the rows 5 goes by 5.

# data[].attributes.body
Mila

A pattern is the 5's-you skip count by 5.

# data[].attributes.body
Jonathan Gregory

0,8,16,24,32,40,48,56,64,72.

The pattern I see is in row 8. Everything goes up by 8 each time.

# data[].attributes.body
The pattern I see is if I look at the 7's on the left and the 7's on the top, they show the same pattern of numbers.

The pattern works the way it does because no matter if you are going left to right or up and down, you are still counting by 7's.

# data[].attributes.body
0,3,6,9,12,15,18,21,24,27,30,33,36

by 3

# data[].attributes.body
9,18,27,36,45,54,63,72,81.

The pattern I see is that you add 9 every time. The pattern works the way is does because every time you add 9.

# data[].attributes.body
Ian

I see a pattern with

3,6,9,12,15,18,21,24,27

It's counting up by 3's.

# data[].attributes.body
Abbie H.!!!

B. It all counting by it self.

C. You are doubling the number that you are counting.

# data[].attributes.body
In row number 2 the answer is 10 12 14 18

And why it is like that because it is skipping numbers by 2.

# data[].attributes.body
Theodore Jefferies

A pattern I see is anything times 1 will stay the same. 1, 2, 3, 4, 5, 6, 7, 8, 9.

# data[].attributes.body
Briella Nickles

0,4,8,12,16,20,24,28,32,36

The pattern is to count up by 4.

# data[].attributes.body
Part B I see a pattern in 9 and 8 the number 72.

Part C They are apart of the same fact family.

# data[].attributes.body
110,100,90,80,70,60,50,40,30,20,10,0 The pattern is subtracting by 10.

# data[].attributes.body
Alexa Nickles

The pattern I see is

5,10,15,20,25,30,35,40,45

in this pattern you count by 5.

# data[].attributes.body
Ava B

0,5,10,15,20,25,30,35,40,45

The pattern is counting by 5.

# data[].attributes.body
10, 20, 30, 40, 50, 60, 70, 80, 90 , 100,

# data[].attributes.body
Ivy Shan

0,2,4,6,8,10,12,14,16,18

In this pattern you just skip count up by 2 each time.

# data[].attributes.body
Sparrow Griffin-Gamble

The missing numbers are:

10,12,14,16,3,8,16,24,32,10,20,30,40,30,42,42,56,8,16,24,32,56,72,27,72

The pattern is a multiplication table where the number on the top times the number in the side column gives you the missing numbers.

# data[].attributes.body
Hafah

The pattern I see in the table is 0,3,6,9,12, and so on. THe 3 on top, if you go down you can shade in all numbers until 27. IT is a pattern because you add 3 to each number before it.

# data[].attributes.body
The pattern I see is 8,16,24,32,40,48,56,64,72. I see the pattern as 8x9 (or 9x8).

# data[].attributes.body
My pattern is 1,2,3,4,5,6,7,8,9,10 I see that every time you add it gets 1 more bigger then the other. Also if you sideways or straight it is the same pattern. It keeps adding the same number .

# data[].attributes.body
the pattern i see is

2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34.It's a pattern because it keeps adding the same number 2.

# data[].attributes.body
Nadia Dahmani

A pattern that I know is

5,10,15,20,25,30,35,40,45,50,55,60.

It is a pattern because is skipping by 5.

# data[].attributes.body
Meyaira Waddell

The pattern I see in the multiplication table is counting by 3, 6, 9. 12, 15, 18, 21... I know that I need to continue counting by 3 to complete the number line. So the next two numbers would be 24 and 27.

# data[].attributes.body
Hannah Adam

I see counting by 1, 2, 3, 4, 5... until you get to 9. If you are in the row of 1, you are counting by 1s, if you are in a row of 9s, you are counting by 9.

# data[].attributes.body
The pattern I see is 8 16 24 32 40 48 56 64 72 it goes up by 8 the pattern works by two numbers to make the next.

# data[].attributes.body
One pattern I see is 9,18,27,36,45,54,63,72,81

# data[].attributes.body
The pattern I see is 2's. 2,4,6,8,10,12,14,16,18. This pattern works by adding two to the number before it.

# data[].attributes.body
Mya Ziegler

The pattern I see is 5's. 5,10,15,20,25,30,35,40,45

This pattern works by adding five to the number that comes before it.

# data[].attributes.body
A pattern I see counting by 5s. 5, 10, 15, 20, 25, 30, 35, 40,. The pattern works that way because each time you add you add 5. 5+5=10.

# data[].attributes.body
Henry Gerding

Each row and column is skip counting by the number at the top. It happens because of how it lines up to have same numbers as multiplication.

# data[].attributes.body
Liam Nieves

Each row counts up with the number that it starts with on the left. Each box increases by that number it starts with on the left. It works that way because 0 0 0 0 0 0 for the first row, 1,2, 3, 4, 5,6,7, 8, 9 for the next row and then the following goes 2, 4, 6, 8, 10 , 12 etc.

# data[].attributes.body
Dominick F.

B Each row is skip counting by what number is in the first column.

C You are multiplying by what number is in the first column.

# data[].attributes.body
A pattern I see is counting by threes 3, 6, 9, 12, 15, 18, 21, 24, 27. The pattern works this way because each time number goes up by threes.

# data[].attributes.body
A pattern I see is by counting 5's.

5, 10, 15, 20, 25, 30, 35, 40, 45. This pattern works because each time you are adding 5 to the number before it. 5 + 5 = 10, 10 + 5 = 15, 15 + 5 = 20 and so on.

-Yousef Taha

# data[].attributes.body
Sara S

A pattern I see is counting by threes. 3, 6, 9, 12, 15, 18, 21, 24, 27. The pattern works this way because when you count by threes each number goes up by three.

# data[].attributes.body
Roman J.

A pattern I see is counting by 8's.

8,16,24,32,48,56,64,72.

The pattern works in this way because when you skip count by 8, you add 8 every time to get to the next number.

# data[].attributes.body
A pattern I see is counting by Fives.

The pattern works that way because there are Nine rows of numbers and each row has a new number so the new numbers under Five are 10,15,20,25,30,35,40,45 and thats counting by Fives.,