We have data on Lung Capacity of persons and we wish to build a multiple linear regression model that predicts Lung Capacity based on the predictors Age and Smoking Status. Age is a numeric variable whereas Smoke is a categorical variable (0 if non-smoker, 1 if smoker). Here is the partial result from STATISTICA. b* Std.Err. of b* Std.Err. N=725 of b 0.182989 Intercept Age Smoke 1.085725 0.835543 -0.075120 0.021631 0.555396 0.014378 0.021631 -0.648588 0.186761 Which of the following statements is absolutely false? A. The expected lung capacity of a smoker is expected to be 0.648588 lower than that of a non-smoker. B. The predictor variables Age and Smoker both contribute significantly to the model. C. For every one year that a person gets older, the lung capacity is expected to increase by 0.555396 units, holding smoker status constant. D. For every one unit increase in smoker status, lung capacity is expected to decrease by 0.648588 units, holding age constant.

MATLAB: An Introduction with Applications
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We have data on Lung Capacity of persons and we wish
to build a multiple linear regression model that predicts
Lung Capacity based on the predictors Age and
Smoking Status. Age is a numeric variable whereas
Smoke is a categorical variable (0 if non-smoker, 1 if
smoker). Here is the partial result from STATISTICA.
b*
Std.Err.
of b*
Std.Err.
N=725
of b
Intercept
Age
Smoke
0.835543
-0.075120
1.085725
0.555396
0.182989
0.014378
0.021631
0.021631
-0.648588
0.186761
Which of the following statements is absolutely false?
A. The expected lung capacity of a smoker is expected
to be 0.648588 lower than that of a non-smoker.
B. The predictor variables Age and Smoker both
contribute significantly to the model.
C. For every one year that a person gets older, the lung
capacity is expected to increase by 0.555396 units,
holding smoker status constant.
D. For every one unit increase in smoker status, lung
capacity is expected to decrease by 0.648588 units,
holding age constant.
Transcribed Image Text:We have data on Lung Capacity of persons and we wish to build a multiple linear regression model that predicts Lung Capacity based on the predictors Age and Smoking Status. Age is a numeric variable whereas Smoke is a categorical variable (0 if non-smoker, 1 if smoker). Here is the partial result from STATISTICA. b* Std.Err. of b* Std.Err. N=725 of b Intercept Age Smoke 0.835543 -0.075120 1.085725 0.555396 0.182989 0.014378 0.021631 0.021631 -0.648588 0.186761 Which of the following statements is absolutely false? A. The expected lung capacity of a smoker is expected to be 0.648588 lower than that of a non-smoker. B. The predictor variables Age and Smoker both contribute significantly to the model. C. For every one year that a person gets older, the lung capacity is expected to increase by 0.555396 units, holding smoker status constant. D. For every one unit increase in smoker status, lung capacity is expected to decrease by 0.648588 units, holding age constant.
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