Question: https://youtu.be/Xj6z5wdtwdE Question 1 1 pts It is important to understand that when studying two variables, each variable has a role to play. That is, a

 https://youtu.be/Xj6z5wdtwdE Question 1 1 pts It is important to understand thatwhen studying two variables, each variable has a role to play. Thatis, a variable may either be a response variable, also known asthe dependent variable, or outcome variable, or it could be the explanatoryvariable, also known as the independent variable or predictor variable. Independent 4[Choose] response explanatory predictor dependent [ Choose ] " outcome explanatory V

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Question 2 1 pts At this point, I'm going to be askingyou to impose a causal model on your research question. To dothis, you'll need to designate which of your variables is the explanatoryvariable and which is the response variable. Note that we can onlyimpose a causal model, rather than actually test for causation, because we'reworking with what's known as observational data. In other words, the data

Question 1 1 pts It is important to understand that when studying two variables, each variable has a role to play. That is, a variable may either be a response variable, also known as the dependent variable, or outcome variable, or it could be the explanatory variable, also known as the independent variable or predictor variable. Independent 4 [Choose] response explanatory predictor dependent [ Choose ] " outcome explanatory V Question 2 1 pts At this point, I'm going to be asking you to impose a causal model on your research question. To do this, you'll need to designate which of your variables is the explanatory variable and which is the response variable. Note that we can only impose a causal model, rather than actually test for causation, because we're working with what's known as observational data. In other words, the data sets that we're using are based on studies where the sample is simply observed, rather than being manipulated or inuenced in any way, as it would be in an experiment. Even though we won't be able to be certain that the association we're testing is causal, for the purposes of exploring our question, it remains important to determine the role that each variable will play in our model. observational data I J [ Choose ] l we can only impose a causal model we can actually test for causation experiment [ Choose 1 VI D Question 3 1 pts Recall that our basic research question is focused upon whether or not two variables are associated with one another. For example, is there a relationship between gender and test scores? gender J [Choose] response variable explanatory variable test scores D Question 4 1 pts Is there a relationship between the type of light a baby sleeps with, and whether or not the child develops nearsightedness? the type of light a baby sleeps with J [Choose 1 \\ explanatory variable response variable [ Choose ] whether or not the child develops nearsightedness _ Are the smoking habits of a person related to that person's gender? J [Choose] explanatory variable response variable Question 6 1 pts Or, how well can we predict a student's college freshman year GPA from his or her SAT score? , SAT score J [Choose] explanatory variable response variable @ a student's college freshman year GPA

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