The authors of the article “Predictive Model for PittingCorrosion in Buried Oil and Gas Pipelines”(Corrosion, 2009: 332–342) provided the data on whichtheir investigation was based.a. Consider the following sample of 61 observations onmaximum pitting depth (mm) of pipeline specimensburied in clay loam soil. 0.41 0.41 0.41 0.41 0.43 0.43 0.43 0.48 0.480.58 0.79 0.79 0.81 0.81 0.81 0.91 0.94 0.941.02 1.04 1.04 1.17 1.17 1.17 1.17 1.17 1.171.17 1.19 1.19 1.27 1.40 1.40 1.59 1.59 1.601.68 1.91 1.96 1.96 1.96 2.10 2.21 2.31 2.462.49 2.57 2.74 3.10 3.18 3.30 3.58 3.58 4.154.75 5.33 7.65 7.70 8.13 10.41 13.44Construct a stem-and-leaf display in which the twolargest values are shown in a last row labeled HI.b. Refer back to (a), and create a histogram based oneight classes with 0 as the lower limit of the firstclass and class widths of .5, .5, .5, .5, 1, 2, 5, and 5,respectively.c. The accompanying comparative boxplot fromMinitab shows plots of pitting depth for four differenttypes of soils. Describe its important features.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
The authors of the article “Predictive Model for Pitting
Corrosion in Buried Oil and Gas Pipelines”
(Corrosion, 2009: 332–342) provided the data on which
their investigation was based.
a. Consider the following sample of 61 observations on
maximum pitting depth (mm) of pipeline specimens
buried in clay loam soil. 0.41 0.41 0.41 0.41 0.43 0.43 0.43 0.48 0.48
0.58 0.79 0.79 0.81 0.81 0.81 0.91 0.94 0.94
1.02 1.04 1.04 1.17 1.17 1.17 1.17 1.17 1.17
1.17 1.19 1.19 1.27 1.40 1.40 1.59 1.59 1.60
1.68 1.91 1.96 1.96 1.96 2.10 2.21 2.31 2.46
2.49 2.57 2.74 3.10 3.18 3.30 3.58 3.58 4.15
4.75 5.33 7.65 7.70 8.13 10.41 13.44
Construct a stem-and-leaf display in which the two
largest values are shown in a last row labeled HI.
b. Refer back to (a), and create a histogram based on
eight classes with 0 as the lower limit of the first
class and class widths of .5, .5, .5, .5, 1, 2, 5, and 5,
respectively.
c. The accompanying comparative boxplot from
Minitab shows plots of pitting depth for four different
types of soils. Describe its important features.
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