Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Average 31 35.5 31 40.5 34 39 37.5 time for Total process Average 15 20 17 25 18 24 20 time for Moulding Average 6 4.5 5 7 6 7 5.5 time for finishing Average 10 11 9. 8.5 8 12 time for packing Factory manager claims that there is a positive relationship between moulding time and total time taken for the process. As the production engineer you need to test this hypothesis using the above data. If there is a relationship, provide the best fitted straight line for the above data using linear regression. You should interpret your results 10

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Question
Day 1 Day 2
Day 3
Day 4
Day 5
Day 6
Day 7
Average
31
35.5
40.5
34
39
37.5
time for
Total
process
Average
15
17
18
24
time for
Moulding
Average
4.5
7
5.5
time for
finishing
Average
10
11
9.
8.5
10
8
12
time for
packing
Factory manager claims that there is a positive relationship between
moulding time and total time taken for the process. As the production
engineer you need to test this hypothesis using the above data. If there
is a relationship, provide the best fitted straight line for the above data
using linear regression.
You should interpret your results
||
20
25
31
20
Transcribed Image Text:Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Average 31 35.5 40.5 34 39 37.5 time for Total process Average 15 17 18 24 time for Moulding Average 4.5 7 5.5 time for finishing Average 10 11 9. 8.5 10 8 12 time for packing Factory manager claims that there is a positive relationship between moulding time and total time taken for the process. As the production engineer you need to test this hypothesis using the above data. If there is a relationship, provide the best fitted straight line for the above data using linear regression. You should interpret your results || 20 25 31 20
Expert Solution
Step 1

Let 

X: Average time for moulding.

Y: Average time for total process.

Statistics homework question answer, step 1, image 1

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