*Use any software in place of Matlab, or write out the logic. The time to comple
ID: 3177013 • Letter: #
Question
*Use any software in place of Matlab, or write out the logic.
The time to complete an assembly task is to be modeled as a linear function of the complexity of the task and the time an assembler has been continuously working. Complexity (x) is measured on a scale from 0 to 100, work time (y) is in hours prior to beginning the timed assembly, and completion time (Z) is in minutes. Use your result from Problem 1 and the following data to determine an equation of the regression plane that predicts the expected completion time.Explanation / Answer
Result:
Regression Analysis
R²
0.736
Adjusted R²
0.560
n
6
R
0.858
k
2
Std. Error
2.372
Dep. Var.
y
ANOVA table
Source
SS
df
MS
F
p-value
Regression
47.1138
2
23.5569
4.19
.1355
Residual
16.8862
3
5.6287
Total
64.0000
5
Regression output
confidence interval
variables
coefficients
std. error
t (df=3)
p-value
95% lower
95% upper
Intercept
30.2575
12.7935
2.365
.0989
-10.4572
70.9722
x
-0.6998
0.2880
-2.430
.0934
-1.6164
0.2168
z
7.1856
2.5963
2.768
.0697
-1.0771
15.4484
Estimated regression line
y=30.2575 - 0.6998*x + 7.1856*z
Regression Analysis
R²
0.736
Adjusted R²
0.560
n
6
R
0.858
k
2
Std. Error
2.372
Dep. Var.
y
ANOVA table
Source
SS
df
MS
F
p-value
Regression
47.1138
2
23.5569
4.19
.1355
Residual
16.8862
3
5.6287
Total
64.0000
5
Regression output
confidence interval
variables
coefficients
std. error
t (df=3)
p-value
95% lower
95% upper
Intercept
30.2575
12.7935
2.365
.0989
-10.4572
70.9722
x
-0.6998
0.2880
-2.430
.0934
-1.6164
0.2168
z
7.1856
2.5963
2.768
.0697
-1.0771
15.4484
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