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What are the explanatory and response variables in the study? What other variables are mentioned that may influence the relationship between the explanatory variable and the response variable?

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Karol A.
Karol A.Lv10
2 Apr 2021
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Related textbook solutions

Introductory Statistics
OER Edition, 2013
Openstax
ISBN: 9781938168208

Related questions

Inalize three research questions relating to your selected dataset. Make sure the variables used in the final questions you select are of the following format:
1. Continuous response and continuous explanatory variable
2. Categorical response and categorical explanatory variable
3. Continuous response and categorical explanatory variable (note: the categorical variable must be dichotomous for this question)
Each research question should have a clear explanatory and response variable. Review, as necessary, the ‘Laerd Statistics’ reading from last week which explains data types and the difference between response variables (also referred to as dependent or outcome variables) and explanatory variables (also referred to as independent or predictor variables).
Then, in your initial post, list your three finalized research questions, indicating the variable types.
For example, using data from the Framingham Heart Study dataset, one question might be: ‘Is there a significant difference in total serum cholesterol levels [TOTCHOL] (continuous-ratio) (response) between smokers and non-smokers [CURSMOKE] (categorical-dichotomous) (explanatory)?’
In your response post to your peers, provide feedback on their finalized research questions, which will become the foundation of each student’s final project. Consider the following questions as you review your peers' research questions:
• Is each research question clearly stated?
• Does each research question relate to the dataset?
• Do the three research questions meet the data type requirements?
• Does each research question identify response and explanatory variables correctly?

Choose all that apply

When considering ANOVA:

a) All observations are independent

b) The variances of the different treatments are assumed to be approximately equal.

c) The explanatory variable is numerical and the response is categorical

d) Your degrees of freedom between treatments should never exceed 10

Choose all that apply.

When considering using ANOVA

a) All observations are independent.

b) The variances of the different treatments are assumed to be approximately equal.

c) The explanatory variable is numerical and the response is categorical.

d) Your degrees of freedom between treatments should never exceed 10.

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