BUSINESS ADMINISTRATION
BUSINESS ANALYTICS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Interaction
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Multicollinearity
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Autocorrelation
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Covariance
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Detailed explanation-1: -Autocorrelation. refers to the scenario in which the relationship between the dependent variable and one independent variable is different at different values of a second independent variable.
Detailed explanation-2: -In a research experiment, the dependent variables are usually the effect, while the independent variables are the cause. Also, the relationship between the dependent and independent variables can be said to be a cause and effect relationship.
Detailed explanation-3: -In regression analysis, the dependent variable is denoted Y and the independent variable is denoted X. So, in this case, Y=total cholesterol and X=BMI. When there is a single continuous dependent variable and a single independent variable, the analysis is called a simple linear regression analysis .
Detailed explanation-4: -Independent variable causes an effect on the dependent variable. Example: How long you sleep (independent variable) affects your test score (dependent variable). This makes sense, but: Example: Your test score affects how long you sleep.
Detailed explanation-5: -Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables.