Samenvatting Statistics for Business and Economics

Multiple Regression (12)

12. Multiple Regression

Simple regression (see chapter 11) can predict a dependent variable as a function of a single independent variable. But often there are multiple variables at play. In order to determine the simultaneous effect of multiple independent variables on a dependent variable, multiple regression is used. The least squares principle fit the model.

12.1. The model

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Several Aspects of Regression Analysis (13)

13. Several Aspects of Regression Analysis

This chapter focusses on topics that add to the understanding of regression analysis. This includes alternative specifications for these models, and what happens in the situations where basic regression assumptions are violated.

13.1. Developing models

The goal when developing a model is to approximate the complex reality as close as possible with a relatively........Read more

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Analysis of Variance (15)

15. Analysis of Variance

There are situations and experiments that require processes to be compared at more than two levels. Data from such experiments can be analysed using analysis of variance or ANOVA.

15.1. Comparing Population Means

There are other ways to compare population means than ANOVA, but these are based on the assumption of either paired observations or........Read more

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Predictions with Time-Series Data (16)

16. Predictions with Time-Series Data

Time series data involves measurements that are ordered over time, in which the sequence of observations is important. Most procedures for data analysis cannot be used for this data, as these procedures are based on the assumption that the errors are independent. Thus, different forms of analysis are needed.

The main goal of analysing time-series........Read more

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Sampling (17)

17. Sampling

There are various ways of sampling a population, according to research and analysis goals.

17.1. Stratified Sampling

Stratified sampling involves breaking the population into strata (a.k.a. subgroups) according to a specific identifiable characteristic in such a way that each member of the population belongs to only one strata. Stratified random sampling is the process of selecting independent simple........Read more

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Bullets Statistics for Business and Economics

12. Multiple Regression

Regression objectives are either to predict the value of the dependent variable, or to estimate the marginal effect of each independent variable.
A population multiple regression model is a model that includes multiple independent variables.
Standard multiple regression assumptions include the four standard simple regression assumptions, plus a fifth one: It is not possible to find

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