SNHU MAT 243 (Applied Statistics for
STEAM) QUIZ FIVE
Which of the following correctly represents the coefficient of determination in terms of
the variance that is an output from the analysis of variance table? Select one.
Question options:
The numerator is explained variance + unexplained variance / total variance.
Explained variance / total variance
unexplained variance / total variance
1 / total variance - ANS-Explained variance / total variance
The ols() method in statsmodels was used to fit a simple linear regression model using
"Exam4" as the response variable and "Exam1" as the predictor variable. The output is
shown below. A text version is available. What is the correct regression equation based
on this output? Is this model statistically significant at 5% level of significance (alpha =
0.05)? Select one.
(Hint: Review results of F-statistic) - ANS-Exam4 = 57.7627 + 0.2266 Exam1, model is
not statistically significant
The linregress() method in scipy module is used to fit a simple linear regression model
using "Reaction" (reaction time) as the response variable and "Drinks" as the predictor
variable. The output is shown below. What is the correct regression equation based on
this output? Is this model statistically significant at 5% level of significance (alpha =
0.05)? Select one.
Question options:
Reaction = 3.9999 + 6.0000 Drinks, model is statistically significant
Reaction = 6.0000 + 3.9999 Drinks, model is not statistically significant
Reaction = 3.9999 + 6.0000 Drinks, model is not statistically significant
Reaction = 6.0000 + 3.9999 Drinks, model is statistically significant - ANS-Reaction =
3.9999 + 6.0000 Drinks, model is statistically significant
Which of the following Python methods in scipy.stats submodule returns the P-value for
performing a hypothesis test for the significance of the correlation coefficient? Select
one.
Question options:
pearsonr from scipy module
pearson from pandas module
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