Nature of Human Being
Feeling, Will and Intellect
Many things happen to a human being that he does not have control over, such happenings also result in some feelings which he can or cannot control. For the most part, the habitual practice of self-control helps him to control some of those feelings and manage how he responds to them.
Intellect tries to reach the truth and helps us to know by abstracting information from what the senses present. When the intellect combines two or more abstractions, it results in judgement. Intellect also helps with analysis, thinking, reasoning, introspection, reflection, and others.
Intellect also helps with moral judgement of good or bad, right, or wrong and it affects the will because the will always seeks what is good. Conscience helps with the judgement of the intellect between good and bad judgements.
Intellect and the will help us make choices and choosing well requires practice. Our freedom to choose makes us responsible for our choices.
How to Strengthen Intellect and the Will
Since our will always want what is good, we must keep educating our intellect and pursue learning to help our intellect in the precision of the information it presents to the will.
Similarly, we must educate our will and exercise self-control to strengthen it. If we do these well, we would have intelligent control of our lives, increasing our chances of fulfilment.
Data Analytics
Correlation Coefficient
It expresses the relationship or association between two variables leading to decision-making.
It measures the strength and direction of the relationship between two variables although the measurements of the direction are more valuable to us.
Direction and Strength of Relationships
The direction can be positive or negative. If the variables move in the same direction, the relationship is positive and if they move in the opposite direction, it is negative.
Similarly, the strength of the relationship between two variables can be strong or weak. If the correlation coefficient is greater than or equal to fifty per cent, it is a strong relationship whereas less than fifty per cent shows a weak relationship.
Correlation Analysis
The analysis depends on the nature of the data.
Methods
- Graphical (such as scatter diagram) and algebraic
- Pearson Product Movement Correlation – used for quantitative data. All software analyses are in this mode.
- Spearman Rank Correlation – used for qualitative data.
- Tetrachoric Correlation – used for binary numbers.
- Canonical Correlation – used for grouped data.
Limitations
- It does not separate between dependent and independent variables.
- Correlation does not imply causation.
- It cannot be used for prediction and forecast.
- It can show a spurious correlation in which there is no logical correlation between two variables.
- Only the directions are useful.
Regression Analysis
It helps us to overcome the limitations of the correlation coefficient. It helps us to study past behaviour and deals with pattern recognition. The major application of regression analysis is machine learning which deals with pattern recognition.
Advantages
- It separates dependent and independent variables.
- It shows causation and effect
- It can be used for prediction and forecast.
