Chapter 8 Data Science

What kind of model does R make when you use lm() with a categorical explanatory variable?

• empty model

• two group model

• regression model

• statistical model

What kind of model does R create when you use lm() with a quantitative variable?

• regression model

• two group model

• empty model

• statistical model

What is the same in a regression model and a two group model?

• both models yield one predicted score

• both models use residuals

• both have more than one predicted score

• both have quantitative explanatory variables

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In the regression model GLM notation, what is the Xi?

• The value for the explanatory variable

• 0 or 1

• 1 or 2

• The value for the outcome variable

In the regression model, what is the b1?

• the slope

• the y intercept

• the mean difference

• the mean

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CCSS.8.SP.A.3

What is the error in the regression model?

• the difference between the mean and the data point

• the differenced between the best fit line and the data point

• the difference between the group mean and the data point

• the slope of the best fit line

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What is b0 in the regression model GLM equation?

• the y intercept

• the slope

• the mean

• the mean difference

What function do you use to chain on a best fit line onto a graph in R?

• gf_lm()

• gf_l()

• glm()

• bestfit()

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What does the prediction from the regression model depend on?

• the value of the explanatory variable

• the grand mean

• the group mean

• the slope

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CCSS.HSS.ID.B.6A

How do you make a prediction for each individual in a regression model in R?

• b0(modelname+

  b1(modelname)*

  value for explanatory variable

• b1(modelname+

  b0(modelname)*

  value for explanatory variable

• b0(modelname+

  b1(modelname)+

  value for explanatory variable

• b1(modelname+

  b0(modelname)+

  value for explanatory variable

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CCSS.HSS.ID.B.6A