%0 Journal Article
%T 基于SPSS软件的农业产值研究与预测<br>Research and Forecast of Agricultural Output Value Based on SPSS Software
%A 蒙乐
%J Advances in Applied Mathematics
%P 2155-2159
%@ 2324-8009
%D 2024
%I Hans Publishing
%R 10.12677/aam.2024.135204
%X 农业是国民经济的基础，农业总产值与粮食产量反映了我国农业的现况。本文利用SPSS软件对农业总产值建立多元线性回归模型，以及时间序列分析。数据采用2014年~2022年《中国统计年鉴》我国农业总产值、粮食产量、农用化肥施用量等。<br />
Agriculture is the foundation of the national economy, and the total agricultural output value and grain yield reflect the current situation of agriculture in China. This article uses SPSS software to establish a multiple linear regression model for the total agricultural output value, as well as time series analysis. The data is based on the China Statistical Yearbook from 2014 to 2022, which includes the total agricultural output value, grain yield, and the amount of agricultural chemical fertilizer applied in China.
%K 多元回归分析，时间序列分析，SPSS，预测<br>Multiple Regression Analysis
%K Time Series Analysis
%K SPSS
%K Forecast
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=87777