Question

In: Statistics and Probability

Please use mintab The strength of a part was monitored as a function of temperature within...

Please use mintab

The strength of a part was monitored as a function of temperature within a process. Generate a Scatter Plot, determine the value of the coefficient of correlation, generate a Fitted Line Plot, generate a Residual Plot, and estimate the percentage of variability in strength as a function of temperature. Note: Data divided into six columns for visual display. Your analysis should have a single Temp column and a single Strength column.

Temp

Strength

Temp

Strength

Temp

Strength

140.6

7.38

140.5

6.95

142.1

3.67

140.9

6.65

139.7

8.58

141.1

6.58

141.0

6.43

140.6

7.17

140.6

7.42

140.8

6.85

140.1

8.55

140.5

7.53

141.6

5.08

141.1

6.23

141.2

6.28

142.0

3.80

140.9

6.27

142.2

3.46

141.6

4.93

140.6

7.54

140.0

8.67

140.6

7.12

140.2

8.27

141.7

4.42

141.6

4.74

139.9

8.85

141.5

4.25

140.2

8.70

140.2

7.43

140.7

7.06

Solutions

Expert Solution

Using Excel, go to Insert Scatter Plot.

Using Excel, go to Data, select Data Analysis, choose Regression. Put Temperature in X input range and Strength in Y input range. Tick Residual Plot and Line Fit Plot.

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.977
R Square 0.955
Adjusted R Square 0.953
Standard Error 0.347
Observations 30
ANOVA
df SS MS F Significance F
Regression 1 71.054 71.054 588.593 0.000
Residual 28 3.380 0.121
Total 29 74.434
Coefficients Standard Error t Stat P-value
Intercept 333.986 13.496 24.747 0.000
Temperature -2.324 0.096 -24.261 0.000

Correlation coefficient (Multiple R) = 0.977

Percentage of variability in strength as a function of temperature (R-square) = 0.955 = 95.5%


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