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  6. Statistical analysis software "Multi Multivariate"

Statistical analysis software "Multi Multivariate"

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last updated:Dec 07, 2022

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Equipped with multivariate analysis capable of causal relationships, predictions, and segmentation.

"Multivariate Analysis" is a statistical analysis software that allows for the analysis of causal relationships, predictions, segmentation, positioning, similarity analysis, and more using Excel data. Regarding predictions, it can analyze data on Excel sheets, including survey data, time series data, experimental data, quantitative data, and qualitative data (categorical data). Please feel free to contact us if you have any requests. 【Main Analysis Methods】 ■ Various basic statistics, cross-tabulation, category-wise averages ■ Correlations (simple correlation coefficients, correlation ratios, Cramér's V), named correlation diagrams ■ Multiple regression analysis, multiple logistic regression analysis, discriminant analysis ■ Quantification Type I, extended Quantification Type I, Quantification Type II, extended Quantification Type II ■ Principal component analysis, factor analysis, Quantification Type III, correspondence analysis, cluster analysis, etc. *For more details, please download the PDF or feel free to contact us.

    Analysis and prediction systemOther SoftwareStore Analysis System
d65dfe92db929476be00a967ac235028.png

Statistical analysis software "Multi Multivariate"

d65dfe92db929476be00a967ac235028.png
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  • Related Link - https://istat.co.jp/software/01

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**Overview of Functions (Excerpt)** <"Multivariate Analysis 1" Menu> ■ Create a relationship equation (predictive model equation) from the relationship between the objective variable and explanatory variables, and clarify the following from the relationship equation: - The impact of explanatory variables on the objective variable - Importance ranking of explanatory variables - Prediction → Calculate predicted values using the relationship equation (predictive model equation) <"Multivariate Analysis 2" Menu> ■ Investigate the relationships among explanatory variables and derive latent variables (elements of new concepts) Create a relationship equation and clarify the following from the relationship equation: - Naming and interpretation of latent variables - Impact of explanatory variables on latent variables - Scores and predictions for each individual in the latent variables *For more details, please download the PDF or feel free to contact us.*

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Statistical analysis software "Multi Multivariate"

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Statistical analysis software "Multi Forecasting / Multi Multivariate"

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Our company, with the motto of "easy-to-understand statistics," conducts introductory seminars, creates introductory books, and provides consulting services in statistical analysis, management, marketing, and selling, so that everyone can utilize the tools of statistical analysis in their work. As a specialized company in statistical analysis, we promise to deliver the treasures discovered within data through our assistance in market research, data aggregation, analysis, and report creation. Please feel free to contact us if you have any requests.

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