# data[].attributes.body
1 A: Less
2 D: Relaxes
3 A: Should
4 B: So
5 B: Because

# data[].attributes.body
1 A : less
2 C relaxes
3 A : should
4 B : so
5 B : but

# data[].attributes.body
1.A:less
2.C:relaxes
3.A:should
4.B:so
5.B:because

# data[].attributes.body
1a less
2
3a should
4b so
5

# data[].attributes.body
1B, 2C, 3A, 4B, 5A, 6A

# data[].attributes.body
1B
2C
3A
4B
5A
6D

# data[].attributes.body
1.B
2.C
3.A
4.B
5.A
6.D
7.A
8.B
9.C
10.A
11.B
12.C
13.C
14.D
15.B

# data[].attributes.body
1B
2C
3A
4B
5A
6D
7A

# data[].attributes.body
1
1D
2A
3C
4C
5C
2
1 Sewing
2 Cyling
3 Kniting
4 Painting
5 Cooking

# data[].attributes.body
I
1D
2B
3C
4D
5C
II
1cycling
2sewing
3knitting
4painting
5cooking

# data[].attributes.body
1.D
2.A
3.C
4.C
5.C

1 cycling
2 sewing
3,knitting
4. Painting
5 cooking

# data[].attributes.body
1 cycling
2sewing
3 kniting
4 painting
6 cooking

# data[].attributes.body
1.b
2.a
3.b
4.b
5.b

# data[].attributes.body
1 need
2 vegetables
3do
4 carrots
5cilantro
6 don't
7see

# data[].attributes.body
1 need
2 vegetables
3 do
4 carrots
5 cilantro
6 don"t
7 see

# data[].attributes.body
1need
2vegetables
3do
4carrots
5cilentro
6don't
7see

# data[].attributes.body
1.need
2.vegetable
3.do
4.carrots
5.cilantro
6.don’t
7.see

# data[].attributes.body
1.b
2.b
3.b
4.b
5.a
6.b

# data[].attributes.body
1 going
2 could
3 do
4 need
5 anything
6 please
7 I'm
8 can
9 great
10 some

# data[].attributes.body
1.going
2.can
3.do
4.need
5.anything
6.please
7.I’m
8.could
9.great
10.some

# data[].attributes.body
1. Hey, Miko. I'm ____going____ to the store, do you need anything?

2. ____could____ you get me a can of soup, a gallon of milk, and a bag of chips?

3. Hey, Kayo. I'm going to the store, ___do_____ you need anything?

4. I ___need____ a box of cereal, a bag of rice, and a pound of chicken.

5. Hi, Mark. I'm going to the store, do you need _____anything_______?

6. Yes, I do. How about two dozen eggs and a loaf of bread ____please_______.

7. Hey, Kai, ____i am____ going to the store, do you need anything?

8. _____can____ I get a loaf of bread, a bag of chips, and a half dozen eggs?

9. Hi, Anne-Marie. I'm going to the store, do you need anything? Yeah, sure! That would be ____great_____. Um, I'm looking for... if you could get me four cans of chicken noodle soup and two dozen eggs,that would be great.

10. Hi, Kim. I'm going to the store, do you need anything? Well, it just so happens I need _____some_____ bananas, a box of cereal, and a gallon of milk.

# data[].attributes.body
1going
2 could
3 do
4 need
5 anything
6please
7 i'm
8 can
9 great
10 some

# data[].attributes.body
1.Nam often (go) ____________________ to school by bike every day.

2. A lot of people (go) ____________________ to work by car.

3. John usually (take) ____________________ the bus to school.

4. He (play) ____________________ volleyball but he (not enjoy) __________________ it .

5. School children (wear) ____________________ uniform on Monday.

# data[].attributes.body
1 goes
2 go
3 takes
4 plays, doesn’t enjoy
5 wear

# data[].attributes.body
1.Nam often (go) _______goes_____________ to school by bike every day.

2. A lot of people (go) ________go____________ to work by car.

3. John usually (take) _________takes___________ the bus to school.

4. He (play) __________plays__________ volleyball but he (not enjoy) ________doesn't enjoy__________ it .

5. School children (wear) ________wear____________ uniform on Monday.

# data[].attributes.body
1 goes
2 go
3 takes
4 play, doesn't enjoy
5 wear

# data[].attributes.body
1so
2but
3for
4 and
5 ỏ

# data[].attributes.body
has made
leaved
haven't decided
has broken
took
not saw
has won
has finished
have visited
have you riden

# data[].attributes.body
1 so
2 for
3 but
4 and
5 or

# data[].attributes.body
1 so
2 but
3 for
4 and
5 or

# data[].attributes.body
1so
2but
3for
4and
5or

# data[].attributes.body
1 has made
2 leaved
3 haven't decided
4 will break
5 has taken
6 haven't seen
7 won
8 has finished
9 have visited
10 have, riden

# data[].attributes.body
1 has made
2 leaved
3 we didn't decide
4 have brook
5 has took
6 didn't see
7 has won
8 have finished
9 have visited
10 Did, rided

# data[].attributes.body
1 has made
2 left
3 haven’t dicided
4 has broken
5 took
6 haven’t seen
7 didn’t win
8 has finished
9 have visited
10 have you riden

# data[].attributes.body
1 goes
2go
3takes
4plays,.....
5 wear

# data[].attributes.body
1. Thì HTHT : since, for, already, ever, just. recently. so far. times,

S + have / has + V3/ Ved

2. Thì QKĐ: yeseterday, ago, last week,
S + V2/ Ved

# data[].attributes.body
I. Give the past (V2) and past participle ( V3) form of these verbs

1. meet

2. give.

3. have

4. buy

5. make

6. leave

7. go

8. do

9. break

10. see

# data[].attributes.body
I. Give the past (V2) and past participle ( V3) form of these verbs

1. meet

2. give.

3. have

4. buy

5. make

6. leave

7. go

8. do

9. break

10. see

# data[].attributes.body
I. Give the past (V2) and past participle ( V3) form of these verbs

1. meet

2. give.

3. have

4. buy

5. make

6. leave

7. go

8. do

9. break

10. see

# data[].attributes.body
I. Give the past (V2) and past participle ( V3) form of these verbs

1. meet

2. give.

3. have

4. buy

5. make

6. leave

7. go

8. do

9. break

10. see

# data[].attributes.body
1 meet met met
2 give gave given
3 have had had
4 buy bought bought
5 make made made
6 leave left left
7 go went gone
8 do did done
9 break broke broken
10 see saw seen

# data[].attributes.body
1: 1A; 2C; 3B; 4A; 5A
3: 1C; 2A; 3B; 4C; 5A

# data[].attributes.body
1.
1.A
2.C
3.B
4.A
5.C
2.
1.goes
2.will ask
3.gardening
4.does….do
5.will take up
3.
1.C
2.A
3.B
4.B
5.B

# data[].attributes.body
1
1a
2c
3b
4a
5c

1b
2c
3b
4a
5c

1c
2a
3b
4c
5b

# data[].attributes.body
1
1a
2c
3b
4a
5a
2
1b
2c
3b
4a
5c
3
1c
2a
3b
4c
5b

# data[].attributes.body
1. unusual
2. collection
3. occasions
4. challenge
5. pleasure

# data[].attributes.body
1 carve eggshells
2 put on weight
3 headache
4 fragile
5 make models
6 do gardening
7 cycling
8 arranging flower
9 flu
10 elegy
11 community service
12 donate
13 provide
14 health
15 volunteer work
16 homeless people
17 disabled people
18 blood
19 raise money
20 recycle

# data[].attributes.body
carve eggshell
headeach
fraijighe
make models
do garderning
cyling
aranging flowers
flu
alergy
comunity servire
frovince
health
volunteer work
homeless people
disabell people
blood
rasie money
recycle

# data[].attributes.body
carve eggshell
put on weight
headache
fregile
make model
do gardening
cycling
aranging flower
flu
elergy
comunity service
donate
provide
health
volunteer work
homeless people
disable people
blood
raice money
recycle

# data[].attributes.body
1carve eggshell
2 put on weight
3 headache
4
5 make mordel
6do gardening
7 cycling
8 arranging flower
9flu
allergy
11 comunity service
12donate
13 provide
14 health
15 volunteer work
16homeless people
17disable people
18blood
19raise money
20 recycle