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What is the importance of correlation and regression analysis in business decision making?
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Correlation and regression analysis can help business to investigate the determinants of key variables such as their sales. Variations in a companies sales are likely to be related to variation in product prices,consumers,incomes,tastes and preference's multiple regression analysis can be used to investigate the nature of this relationship and correlation analysis can be used to test the goodness of fit. Regression can also be used to estimate the trend in a time series to make forecast
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Use of correlation and regression in business?
"http://wiki.answers.com/Q/Use_of_correlation_and_regression_in_business"
Discuss the importance of descriptive statistics in business organisations?
Discuss the importance of descriptive statistics
What is the ouputs of Requirements elicitation and analysis?
To create the Business Requirements Document
What are the importance of statistics in business organization?
plays vital role in classification and analyses of data
Importance of statistics in commerce and business field?
statistics had a great role in the business and commerce field . it also had agreat role in the field of research.
What is the benefit of correlation and regression analysis in business decisions?
The benefit of using correlation and regression analysis in business decisions is that it allows you to weigh outcomes. This can help managers see if they should continue with their current model or make changes to it.
How can correlation and regression analysis be used to make strategic decisions in a dynamic competitive business environment filled with risk and uncertainty.?
Correlation and regression analysis can help business to investigate the determinants of key variables such as their sales. Variations in a companies sales are likely to be related to variation in product prices,consumers,incomes,tastes and preference's multiple regression analysis can be used to investigate the nature of this relationship and correlation analysis can be used to test the goodness of fit. Regression can also be used to estimate the trend in a time series to make forecast
Use of correlation and regression in business?
"http://wiki.answers.com/Q/Use_of_correlation_and_regression_in_business"
What is the purpose of using correlation analysis How might correlation analysis be used in business decisions or in strategy formulation and implementation?
The correlation analysis is use in research to measure and interpret the strength of a logistic relationship between variables.
How many statistical tests can you run on spss?
SPSS (Statistical Package for the Social Sciences) offers a wide range of statistical tests and procedures that cover various research needs. The specific statistical tests available in SPSS depend on the version of SPSS you are using and the specific modules or extensions that have been installed. However, I can provide you with a list of commonly used statistical tests that are typically available in SPSS: 1. Descriptive statistics: Measures of central tendency (mean, median, mode), measures of dispersion (standard deviation, range), frequencies, and percentages. 2. Correlation: Pearson correlation, Spearman correlation, and Kendall's tau correlation. 3. Regression: Linear regression (simple and multiple), logistic regression, ordinal regression, hierarchical regression, and stepwise regression. 4. Factor analysis: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). 5. Cluster analysis: Hierarchical clustering and k-means clustering. 6. Survival analysis: Kaplan-Meier survival analysis and Cox proportional hazards regression. These are just some examples of the statistical tests available in SPSS. The software provides a comprehensive set of tools for analyzing data in various research fields, including social sciences, business, healthcare, and more. Additionally, SPSS allows for custom programming and scripting using the built-in syntax language, which provides even more flexibility in conducting advanced analyses and customizing procedures.
What has the author Dean P Foster written?
Dean P. Foster has written: 'Business analysis using regression' -- subject(s): Regression analysis, Statistical methods, Social sciences, Commercial statistics 'Basic business statistics' -- subject(s): Commercial statistics, Case studies
What is meaning and importance of strategic analysis?
Strategic analysis is "the process of developing strategy for a business by researching the business and the environment in which it operates." It is important because it helps a business determine how it can reach its goals using available resources.
The importance of a cost benefit analysis in building a business case?
this your assignment task please do it your self
Importance of demand analysis?
Analysis of demand is a methodology under which we analyze the influences of the determinants of demand on demand itself. It is important because the demand determines the sustainability and expansion of business
Methods of sales forecasting and explain its advantages in todays scenario?
Some methods used for forecasting include using historical information and regression analysis. Analyzing historical information is important because future performance is a good indication of future performance. Regression analysis allows business to adjust their numbers based on differences in variables, which is beneficial if they expect to have significant changes that will make historical data invalid.
What is the importance of a marketing manager in a business consulting and training firm?
Marketing managers help marketing representatives gain clients. They run business analysis on the companies and tell them what they can do for their business to ensure they are profitable.
What quantitative techniques are applied for business analysis?
A. Quantitative Techniques with reference to time series analysis in business expansion. B. Quantitative techniques are mathematical and reproducible. Regression analysis is an example of one such technique. Statistical analysis is also an example of a quantitative technique. C. Quantitative techniques are applied for business analysis to optimize decision making IE profit maximization and cost minimization). It covers linear programming models and other special algorithms, inventory and production models; decision making process under certainty, uncertainty and risk; decision tree construction and analysis; network models; PERT and CPA business forecasting models; and computer application.
