Statistical Techniques and Regression Technique Analysis Term Paper Example | Topics and Well Written Essays - 500 words

Statistical Techniques and Regression Technique Analysis - Term Paper Example

Cite this document

Summary

The paper "Statistical Techniques and Regression Technique Analysis " states that the study provides evidence for the proposed mechanism. Personalized advertising was ineffective before the introduction of Facebook privacy controls. There was no significant change in the effectiveness of advertising…

Download full paper File format: .doc, available for editing

GRAB THE BEST PAPER96.1% of users find it useful

Extract of sample "Statistical Techniques and Regression Technique Analysis"

While carrying out statistical techniques, various methods can be used depending on the amount of data that need to be evaluated. Some of the statistical techniques that have been used here include; regression and correlation (Tucker 550). Explain these techniques/ methods in the research context described in the paper.
Regression
Regression technique analysis tolerates the evaluation of the statistical importance and the use of additional control. However, in combined regression, the suggestion is that there is no statistically significant difference in the size of the estimated points (Variables).

Regression on the other hand cares for the most important position of the non-profit enthusiasts (Tucker 551). The regression coefficient suggests that a positive and significant increase in the performance of personalized advertisements (ads) after the opening of the improved user privacy controls.
Correlation
In the correlation technique, there is no statistical significance difference between two paired related estimated points (variables). In relation to the context, after improving the level of privacy in Facebook, there was a relationship between the fans and the number of clicks.

Evaluate whether the techniques /methods are used appropriately in the research. These techniques were appropriately used in the research since they try to estimate the number of Facebook users when and after privacy measures have been improved. We get to realize that after the improvement of privacy measures of Facebook, the number of clicks increased since the majority gained the trust of the firm (Tucker 556). However, these improved privacy measures were put into practice after heavy critics from the users.

The best techniques or methods any alternative ones
The best technique was a regression. Regression tries to care for the most important ranks of enthusiasts. Regression technique analysis investigates the relationship between variables. The technique is used when many variables need to be covered in order to predict the finding of the causal effect of one variable on another. It provided an easy time to predict the number of Facebook users globally. The use of the regression technique requires careful investigation to determine the nature of the relationship.