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10 Things You Didn’t Know About Amazon.

10 Things You Didn’t Know About Amazon.

Who does not know about Amazon? If you are an e-commerce user, the chances are that you have ordered something from Amazon at one point or another in your life. Amazon is arguably the most prominent online store in the world. The founder of Amazon, Jeff Bezos, is currently one of the world’s richest men in the world. Amazon is quite famous for its Kindle, super quick shipping, and selling all types of products online. The e-commerce store made a total revenue of $61 billion in 2012 and currently rates at 5th position at Commodore’s list of 2000 e-commerce stores on the internet.
However, were you aware of the founder of Amazon, Jeff Bezos’ garage? Take a look at these interesting facts related to Amazon to find out.

· While finalizing the name of Amazon, the name Kaaba was also chosen over Amazon. It was only discarded because the lawyer of Jeff Bezos misheard the word and refused for it to be finalized.
· Bezos chose the world Amazon for two reasons. First of all, the listings on the website were alphabetical, and secondly, Amazon was to become a large book store.
· The warehouse of the company has an area greater than 700 Madison Square Gardens. If that does not sound massive, take respect in the fact that the warehouse of Amazon can hold
the water of 10,000 Olympic pools.· The very first sale of Amazon was the book from Bezos’ garage in 1995. It was “Fluid Concepts and Creative Analogies.”
· Did you know that the current logo of Amazon also has a deeper meaning? The arrow under Amazon’s logo starts from “a” and ends at “z,” depicting that you can find anything at Amazon and have it delivered to you. This also means that the delivery system of Amazon extends to anywhere in the world.

· Each employee of Amazon spends two ways in two years sitting at the customer service desk, including the CEO of the company. This is a common practice at Amazon to help everyone understand the customer service process.
· The Amazon Mission statement is to serve their consumers by their online and physical stores while focusing on selection, price, and convenience.

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What is Correlation and Regression with an Example?

What is Correlation and Regression with an Example?

Correlation and Regression are two analytical techniques in statistics that outline multivariate distribution. A multivariate distribution is a distribution of several different variables. Correlation is basically an analysis that shows us the linkage or non-linkage of a relationship between two different variables. This article will highlight the differences between regression vs correlation.

The regression analysis shows the value of the dependent variable entailing the known value of an independent variable, assuming that there is a normal relationship between two different variables.

The question of differences between correlation and regressions is quite commonly asked. A lot of people have difficulty in differentiating between the two measures. However, you don’t have to be confused anymore because this article will highlight the important differences between the two measures perfectly.

Correlation is a measure of statistics that finds a co-relationship between two different variables. It then represents this linear relationship between both of the variables. The value of a correlation coefficient can be different, in the range of minus one to plus one. A negative one shows that there is a perfectly negative correlation while a positive one shows that there is a perfectly positive correlation. In a correlation that is negative, the variables work against each other. On the other hand, in a correlation where variables are positive, the variables work towards each other. When two variables have a positive correlation, if the value of one variable increases, the value of the other variable also increases.

The standard error of correlation is a tool that helps you determine the different confidence intervals towards a correlation of zero which is true. However, if your correlation coefficients are out of the defined range, the interval becomes quite different from zero. A standard error of internal or ratio data can also be calculated.          

A regression analysis shows how an independent variable has a numeric connection with a dependent variable. It allows you to fit the best line depending on the other variable.

The dependent and independent variables in correlation have no difference but in regression, both variables are quite different.

You can use regression analysis on an intuitive level regularly. In a business environment, a man is known to be well-off if he is well dressed. A quantities regression enables precision in a calculation with the help of a mathematical formula that is used for predictive purposes. For instance, the regression line which is also known as a least-squares line is a plot of expected blue of variables for independent variables. The line is what minimizes the residuals, making the calculation more accurate. The regression line allows for the data to be the best fit for the scatterplot. It is most commonly used in the business context. Another point to notice is that if you use the regression analysis, you can predict the dependent variable through the help of the independent variable.

Conclusion

In conclusion, regression and correlation hold a few differences. However, both are a form of mathematical formulas and are quite helpful in the field of statistics.