Science and technology service industry development level prediction method based on multiple linear regression
A technology of multiple linear regression and forecasting methods, applied in the field of scientific and technological services, can solve the problems of not yet forming a unified statistical index system, inconsistent statistical indicators, and unclear range of statistical objects in the scientific and technological services industry, so as to achieve reasonable prediction results and improve the impact factors, developmental effects
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[0046]Step 1: Sort out relevant research literature, collect statistics on the statistical indicators of the science and technology service industry in the existing literature, and use the frequency analysis method to arrange the indicators in the existing literature in descending order of frequency of use. According to the needs of industry statistical information from high to low, select the required high-frequency indicators as the statistical indicators of the scientific and technological service industry of the present invention, and establish a corresponding index system. Service industry statistical survey index system, and use the established scientific and technological service industry survey and statistical index system to carry out statistical surveys, and collect sample data on the development of Shandong's scientific and technological service industry in the past 15 years.
[0047] Step 2: Take the time series historical data of the development level indicators of...
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