QUESTIONS WITH ANSWERS |\ |\
increasing the sample size will usually yield a ___________
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confidence interval - CORRECT ANSWERS ✔✔narrower |\ |\ |\ |\ |\
increasing the confidence level will yield a _____________
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confidence interval - CORRECT ANSWERS ✔✔wider |\ |\ |\ |\ |\
a small p-value indicates evidence for the _____________
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hypothesis - CORRECT ANSWERS ✔✔alternative |\ |\ |\ |\
the p-value for the f-test in the anova box is 0.01. this means: -
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CORRECT ANSWERS ✔✔at least one predictor is important to the
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model
the r-square for the regression is 0.346 and the adjusted r-square
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is 0.271. this means that: - CORRECT ANSWERS ✔✔there is a
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weak predictor in the model
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the p-value for size*fireplace is 0.462, meaning that: - CORRECT
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ANSWERS ✔✔the interaction is not significant
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you find that one of the interactions is not significant. what is the
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next step for the regression? - CORRECT ANSWERS ✔✔remove
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the interaction and re-run the regression
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, the residual standard error is 62.39091 - interpret the standard
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error for the regression - CORRECT ANSWERS ✔✔predictions of
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assessed value tend to be off by $62,390.91, in general
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the estimated coefficient for "period" is -.71687. interpret the
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coefficient: - CORRECT ANSWERS ✔✔as period increases by 1, we |\ |\ |\ |\ |\ |\ |\ |\ |\
expect the percent of summoned jurors to decrease by .72, after
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accounting for year.
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the p-value for period is 0.000005, meaning that the period is: -
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CORRECT ANSWERS ✔✔highly significant |\ |\ |\
when using a regression model for prediction, one should be
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concerned with: - CORRECT ANSWERS ✔✔minimizing standard |\ |\ |\ |\ |\ |\ |\
error of the regression |\ |\ |\
you run a multiple regression that has a low p-value for the f-test,
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and large p-values for each of the predictors. you should
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suggest: - CORRECT ANSWERS ✔✔collinearity |\ |\ |\ |\
collinearity is important to diagnose if you are: - CORRECT |\ |\ |\ |\ |\ |\ |\ |\ |\ |\
ANSWERS ✔✔interpreting the regression coefficients |\ |\ |\ |\
you run a multiple regression with 2 predictors. one has a high p-
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value and the other has a low p-value. you should conclude that:
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- CORRECT ANSWERS ✔✔the term with the high p-value might
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be better for predicting the response
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