Business Studies, asked by sonysimon1998, 1 month ago

which of the following is not an advantage of performing multiple regression
a) It provides an estimate of the intercept
b) It produces a formula that can be used to estimate the output to a level of input
c) It is easy to use and audit
d) It can compare more than one independent variable

Answers

Answered by odeyemioluwapelumi04
0

Answer:

It is easy to use and audit It is not easy to use

Answered by krishna210398
1

Answer:

The answer is d) It can compare more than one independent variable

Explanation:

Multiple regression analysis allows researchers to assess the strength of the relationship between an outcome (the dependent variable) and several predictor variables as well as the importance of each of the predictors to the relationship, often with the effect of other predictors statistically eliminated.

It is important to point out, however, that multiple regression analysis is a statistical technique, not a research design, and as such, it does not establish causation. This is because multiple regression builds on correlation, which shows mere associations between variables. To infer a causal relationship, re- searchers need to eliminate bias resulting, for example, from variables that cannot be observed. This can be done by design—through experimental manipulation of variables, or by using statistical controls. The second option is much more common in studies of public policy and economics. Various approaches can be used to minimize bias due to reverse causality and omitted variables. Panel regression with fixed effects is one example of a commonly used approach in economics research. However, panel regression requires the use of panel data, which may not always be available, and they, too, have limitations. It is, therefore, wise to keep in mind when interpreting results, that even under the best of circumstances, statistical controls are never fool-proof.

Qualitative data analysis in public policy depends on whether the study is data-based or literature-based. In data-based studies (e.g., studies based on data collection through interviews, focus group discussions, or participant observation), data analysis involves transcribing and coding participants’ responses and/or the researcher’s notes by identifying certain themes or patterns in the data that help answer the research question(s). In many ways, qualitative data analysis is an attempt to reduce a very large amount of qualitative data—participants’ responses and comments—to a few themes.

For example, if your study has looked at how poor women in rural areas cope with violence, you may want to analyze the women’s responses to identify the strategies that they have used. You would have to make many subjective decisions about what the women’s responses really mean and you would need to be very clear about how you made those decisions. Using multiple sources of data (e.g., interviews + documents + observation) in a qualitative study is one strategy to reduce subjectivity.

Which of the following is not an advantage of performing multiple regression.

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which of the following is not an advantage of performing multiple regression

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