This Question: 1 pt 13 of 15 (0 complete) This Test: 15 pts possible A coffee co
ID: 3294961 • Letter: T
Question
This Question: 1 pt 13 of 15 (0 complete) This Test: 15 pts possible A coffee company uses a data-based approach to improving the quality and customer satisfaction of its products When survey data indicated that the coffee company needed to improve its package-sealing process, an experiment was conducted to determine the factors in the bag-sealing equipment that might be affecting the ease of opening the bag without tearing the inner liner of the bag. One factor that could affect the rating of the ability of the bag to resist tears was the plate gap on the bag-sealing equipment. Data were collected on 19 bags in which the plate gap was varied. Complete parts (a) through (e) below Click the icon to view the data table a. Construct a scatter plot. Choose the correct graph below Tear Rating Plate Gap Tear Rating Plate Gap b. Assuming a linear relationship, use the least-squares method to find the regression coefficients bo and b.Explanation / Answer
Question a)
Answer: Option B
Question b)
We copy the data in excel. There we go to Data Analysis and select the Regression. We input the data for x and y and we get the regression output where we can find the b0 and b1 values.
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.549481
R Square
0.301929
Adjusted R Square
0.260866
Standard Error
1.09878
Observations
19
ANOVA
df
SS
MS
F
Significance F
Regression
1
8.8772
8.8772
7.3528
0.0148
Residual
17
20.5244
1.2073
Total
18
29.4016
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
1.0481
0.2696
3.8879
0.0012
0.4793
1.6169
X Variable 1
2.0100
0.7413
2.7116
0.0148
0.4461
3.5740
Answer:
bo= 1.0481
b1 = 2.0100
Question c)
Answer: Option A
Question d)
Answer: 1.0481
Question e)
Answer: Option B
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.549481
R Square
0.301929
Adjusted R Square
0.260866
Standard Error
1.09878
Observations
19
ANOVA
df
SS
MS
F
Significance F
Regression
1
8.8772
8.8772
7.3528
0.0148
Residual
17
20.5244
1.2073
Total
18
29.4016
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
1.0481
0.2696
3.8879
0.0012
0.4793
1.6169
X Variable 1
2.0100
0.7413
2.7116
0.0148
0.4461
3.5740
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