HTH 320 EXAM 2 QUESTIONS WITH ACCURATE SOLUTIONS
1) Regression -- Answer ✔✔
• Tests for a correlation
• Produces a line of best fit
• Then produces a regression equation
• Produces an ANOVA used to determine if the prediction equation is
significant or y using x
2) With regression, the value you are predicting is the dependent variable and the value
you know is the _______________ variable. -- Answer ✔✔ Independent
3) The goal of ___________ is often to determine whether differences in your
independent variable can help explain the differences in your dependent variable --
Answer ✔✔ Regression
4) For ____________ to be useful, it must have a moderate to strong correlation &
must have a significant ANOVA -- Answer ✔✔ Regression
5) R is the correlation coefficient & indicates the correlation ________________
between the variables. -- Answer ✔✔ Strength
,6) the proportion of variance explained by the independent variable in regards to the
regression model -- Answer ✔✔ R^2
7) Regression analysis produces an _________, which indicates if the predictive power
= significant -- Answer ✔✔ ANOVA
8) Examples of Linear Regression Output -- Answer ✔✔
• The Model Summary Table indicates the correlation (R).
• The R2 value indicates the amount of total variation explained by the
independent variable.
9) The ANOVA Table is used to determine if the regression line that has been
determined as the best fit is useful (statistically significant) when predicting the... --
Answer ✔✔ dependent variable
10) The Coefficients Table provides the necessary values to construct a... -- Answer ✔✔
Regression equation
11) Y = bX +a -- Answer ✔✔ Linear regression equation
12) Predict new values for the dependent variable given more than one independent
variable. -- Answer ✔✔ Multiple regression
13) This test describes the probability of a person surviving to a certain point in time.
Recorded as HR (Hazards Ratio) -- Answer ✔✔ Cox regression
,14) describes the proportion of new cases that develop in a given time period, i.e. the
cumulative incidence. Recorded as OR (Odds Ratio) -- Answer ✔✔ Logistic
regression
15) How do the following variables predict CHD? Cholesterol, triglycerides, HDL's,
LDL's, etc. -- Answer ✔✔ Stepwise Regression/Multiple Regression
16) Multiple regression allows for the prediction of -- Answer ✔✔ Y
17) Regression that allows the researcher to examine how sets of variables added to a
regression equation help prediction of the dependent variable. -- Answer ✔✔
Hierarchical multiple regression
18) Prior to using a survey instrument, the ________________ and
________________ of the instrument must be measured. -- Answer ✔✔ Validity &
reliability
19) A vast majority of surveys use a _________ scale that involves subjects selecting
from predetermined choices that are linked to a numerical value. -- Answer ✔✔
Likert
20) Likert Scale numerical values are ________________ in nature and represent
nothing more than a rank order -- Answer ✔✔ Ordinal
, 21) Chi Square or a rank based test such as the Mann-Whitney-Wilcoxon (MWW) test
or a Kruskal-Wallis test, is the typical statistical protocol for what scale? -- Answer
✔✔ Likert
22) Likert responses can be summed and the sums treated as... -- Answer ✔✔ Interval
data
23) The probability of falsely rejecting a null hypothesis (Type I error). -- Answer ✔✔
Alpha
24) A single value from a data set -- Answer ✔✔ Case
25) A qualitative variable associated with categories -- Answer ✔✔ Categorical variable
26) Given a sample from a population, the CI indicates a range in which the population
mean is believed to be found. Usually expressed as a 95% CI, indicating the lower
and upper boundaries. -- Answer ✔✔ Confidence interval
27) Statistical confusion caused by a variable(s) that is/are not controlled by the
researcher. -- Answer ✔✔ Confoundment
28) Variables that are on the interval or ratio level. -- Answer ✔✔ Continuous variable
29) The group of subjects that are not subjected to any treatment. -- Answer ✔✔
Control group
1) Regression -- Answer ✔✔
• Tests for a correlation
• Produces a line of best fit
• Then produces a regression equation
• Produces an ANOVA used to determine if the prediction equation is
significant or y using x
2) With regression, the value you are predicting is the dependent variable and the value
you know is the _______________ variable. -- Answer ✔✔ Independent
3) The goal of ___________ is often to determine whether differences in your
independent variable can help explain the differences in your dependent variable --
Answer ✔✔ Regression
4) For ____________ to be useful, it must have a moderate to strong correlation &
must have a significant ANOVA -- Answer ✔✔ Regression
5) R is the correlation coefficient & indicates the correlation ________________
between the variables. -- Answer ✔✔ Strength
,6) the proportion of variance explained by the independent variable in regards to the
regression model -- Answer ✔✔ R^2
7) Regression analysis produces an _________, which indicates if the predictive power
= significant -- Answer ✔✔ ANOVA
8) Examples of Linear Regression Output -- Answer ✔✔
• The Model Summary Table indicates the correlation (R).
• The R2 value indicates the amount of total variation explained by the
independent variable.
9) The ANOVA Table is used to determine if the regression line that has been
determined as the best fit is useful (statistically significant) when predicting the... --
Answer ✔✔ dependent variable
10) The Coefficients Table provides the necessary values to construct a... -- Answer ✔✔
Regression equation
11) Y = bX +a -- Answer ✔✔ Linear regression equation
12) Predict new values for the dependent variable given more than one independent
variable. -- Answer ✔✔ Multiple regression
13) This test describes the probability of a person surviving to a certain point in time.
Recorded as HR (Hazards Ratio) -- Answer ✔✔ Cox regression
,14) describes the proportion of new cases that develop in a given time period, i.e. the
cumulative incidence. Recorded as OR (Odds Ratio) -- Answer ✔✔ Logistic
regression
15) How do the following variables predict CHD? Cholesterol, triglycerides, HDL's,
LDL's, etc. -- Answer ✔✔ Stepwise Regression/Multiple Regression
16) Multiple regression allows for the prediction of -- Answer ✔✔ Y
17) Regression that allows the researcher to examine how sets of variables added to a
regression equation help prediction of the dependent variable. -- Answer ✔✔
Hierarchical multiple regression
18) Prior to using a survey instrument, the ________________ and
________________ of the instrument must be measured. -- Answer ✔✔ Validity &
reliability
19) A vast majority of surveys use a _________ scale that involves subjects selecting
from predetermined choices that are linked to a numerical value. -- Answer ✔✔
Likert
20) Likert Scale numerical values are ________________ in nature and represent
nothing more than a rank order -- Answer ✔✔ Ordinal
, 21) Chi Square or a rank based test such as the Mann-Whitney-Wilcoxon (MWW) test
or a Kruskal-Wallis test, is the typical statistical protocol for what scale? -- Answer
✔✔ Likert
22) Likert responses can be summed and the sums treated as... -- Answer ✔✔ Interval
data
23) The probability of falsely rejecting a null hypothesis (Type I error). -- Answer ✔✔
Alpha
24) A single value from a data set -- Answer ✔✔ Case
25) A qualitative variable associated with categories -- Answer ✔✔ Categorical variable
26) Given a sample from a population, the CI indicates a range in which the population
mean is believed to be found. Usually expressed as a 95% CI, indicating the lower
and upper boundaries. -- Answer ✔✔ Confidence interval
27) Statistical confusion caused by a variable(s) that is/are not controlled by the
researcher. -- Answer ✔✔ Confoundment
28) Variables that are on the interval or ratio level. -- Answer ✔✔ Continuous variable
29) The group of subjects that are not subjected to any treatment. -- Answer ✔✔
Control group
