Linear regression analysis, data analysis is a method that has two or more variables. "Relevant", "create" real "value of the row values to predict the decline of x, corporate events, product quality, manage and analyze various information for decision-making at points of two-variable forecast system y.
An analysis of the trend line
Linear regression to estimate future activity or by using the data, you can create a trendline trendline trends. "used business income or a trendline usually in time features of the product. Stock prices, oil prices or all trendlines for analysis features.
Analysis of investment risk
The capital asset pricing model with linear regression analysis, a joint action of the volatility of securities or investments in beta with linear regression. Linear regression and its use is essential for the assessment of the risks associated with the main resources for investment.
Sale or market reviews
An integrated method for forecasting sales or market movement to create integrated growth plans are multivariate linear regression (thickness of more than two variables). This method is more accurate than an analysis of trends, trend analysis only looks like a change of variable to another, where this method is considered a variable changes, change some of the other variables.
The Quality Control
Quality control methods, mostly regression analysis, the technical specifications and other measurable parameters of the product or organizational quality (for example, the number of complaints, etc.).
Linear regression in human resources
Linear regression methods are also used to predict future workforce demographics and the types for large enterprises. Helps businesses prepare for the needs of the working population in the development of good training plans for employees and rental.
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