# data[].attributes.body
1-weren't painting

2-was cleaning

3-were

4-was fixing

5-wasn't wearing
6-were working
7-was working tripped

8-were having

# data[].attributes.body
1:weren’t painting
2:was cleaning
3: were
4:fixed
5:didn’t wear
6:was
7:were working
8:was walking
9: were having

# data[].attributes.body
aren't painting
was cleaning
were
was fixing
wasn't wearing
was
were working
was walking
were having

# data[].attributes.body
1.weren't painting
2.was cleaning
3.were
4.was fixing
5.wasn't wearing
6.was
7.were working
8.was walking tripped
9.were having

# data[].attributes.body
1 weren’t painting
2 was cleaning
3 were
4 was fixing
5 wasn’t wearing
6 was
7were wokinh
8 was walking
9were having

# data[].attributes.body
1 : weren't painting
2 : was cleaning
3 : were
4 : was fixing
5 : wasn't wearing
6 : was
7 : were working
8 : was walking
9 : were having

# data[].attributes.body
1. Weren't painting.
2. Was cleaning.
3. Were.
4. Fixed.
5. Did not wear.

# data[].attributes.body
1.weren't painting
2.was cleaning
3.were
4.was fixing
5.wasn't wearing

# data[].attributes.body
1.aren't painting
2.was cleaning
3.were
4.was fixing
5.wasn't wearing

# data[].attributes.body
Chiến
1 weren’t painting
2was cleaning
3 were
4 fixed
5 didn’t wear

# data[].attributes.body
1 weren't painting
2 was cleaning
3 were
4 was fixing
5 wasn't wearing
6 was
7 were working
8 was walking
9 were having

# data[].attributes.body
1.weren't painting
2.was cleaning
3.were
4.fixed
5.didn't wear

# data[].attributes.body
1. weren't painting
2. was cleaning
3. Were
4. fixed
5. didn't wear
6. Was
7. Were working
8. Was walking
9. Were having

# data[].attributes.body
1weren't painting
2was cleaning
3were
4fixed
5didn't wear

# data[].attributes.body
1. Weren't painting
2. Was cleaning
3. Did
4. Was fixing
5. Wasn't wearing
6. Was
7. Were working
8. Was walking/ tripped
9. Were having

# data[].attributes.body
1, weren"t painting
2, was cleaning
3, were
4,was fixing
5,wasn't wearing
6,was
7 were woking
8,was walking tripped
9, were having

# data[].attributes.body
1.aren't painting
2.was cleaning
3.were
4.was fixing
5.wasn't wearing

# data[].attributes.body
1. weren't painting
2. was cleaning
3. did
4. was fixing
5. wasn't wearing
6. was
7. were working
8. was walking/ tripped
9. were having

# data[].attributes.body
Exercise 1:
1. The Smiths aren’t painting/ weren’t painting their house last weekend

2. Tom cleaned/ was cleaning the living room when Jane arrived

3. Did/ Were the students writing an essay in class this morning?

4. Frank was fixing/ fixed his car when his mobile rang

5. Mark didn’t wear/ wasn’t wearing a coat when it started to rain.

6. He is/ was driving to work this morning when Anna called.

7. While my parents were working/ was working, I was studying at home

8. I walked/ was walking home when I tripped/ was tripping and fell

9. At 8 o’clock last night, we were having/ had dinner at a Chinese restaurant

Exercise 2:
1. Susan ___________ (study) in her room when she heard the noise.

2. What ____________ (they, do) at eleven p.m. last night - it was so noisy?

3. I was eight years old when my elder sister __________ (teach) me how to ride a bike.

4. John ______________ (not go) to school last week because he was ill.

5. I didn't know anything about the plane crash in my neighborhood because I ________ (work) inside at that time.

# data[].attributes.body
1.weren't painting
2. was cleaning
3.did
4.was fixing
5.wasn't wearing
6.was
7.were working
8.was walking/ tripped
9.were having

# data[].attributes.body
1.weren't painting
2.was cleaning
3.were
4.fixed
5.đin't wear
6.was
7.were working
8.was walking
9.were having

# data[].attributes.body
aren't painting
was cleaning
were
was fixing
wasn't wearing

# data[].attributes.body
1. weren't painting
2. was cleaning
3. Were
4. fixed
5. didn't wear
6. is
7. were working
8. was walking, tripped
9. had