The correct answer is Option D. We are often not specifying what the third variable is in this situation.
When we say that the relationship between two variables may be caused by a third variable,...
When investigating the relationship between two quantitative variables, we sometimes transform one of the variables in order to: a) change a linear relationship into a nonlinear one. b) conserve space. c) more accurately portray the variable. d) make the data look more Normal.
Let's say we find a linear relationship between two variables such as studying and one's grades. Could we claim cause-effect? Why or why not?
When the effect of a control variable is examined: a. the relationship between the independent and dependent variables may be stronger. b. the relationship between the independent and dependent variables may be weaker. c. the relationship between the independent and dependent variables may be unchanged. d. all of the above
When we are conducting a study that manipulates an independent variable, controls the influence of other variables, and examines the effects of a treatment on some outcome, we are conducting Qualitative research O Quantitative research Suppose that we plan to study the effect of an educational program on student achievement. If we say that we think that the program will increase achievement scores we are making a(n): O relationship deductive conclusion O research problem hypothesis A researcher gave a series...
Let the random variable Y represent hourly wages and the random variable X represent education. Suppose we have the following regression equation in mind to estimate the return to education: (a) Can we say that this regression would capture the causal effect of education on wages? Support your answer with reasoning. (b) Using the sample equivalent of the two equations E(u)-0 and E(uX)-0 derive the regression estimators for A, and β1-Write down each mathe tnatical step, what would be the...
When there is a nonlinear relationship between two variables, the slope will A. be zero. B. be infinite. C. be constant as we move along the curve. D. change as we move along the curve.
In a relationship between two variables the independent variable refers to the
Based on the graph depicting the relationship between two variables, you would conclude the 10 variable 2 variable 1 A independent variable: discrete/nominal; relationship best tested with univariate test (e.g. analysis of variance) B. independent variable: continuous; relationship best tested with bivariate test (e.g. linear regression) O dependent variable: discrete/nominal relationship best tested with contingency test (eg, chi-square) D. dependent variable: continuous; relationship best tested with bivariate test (e.g. linear regression)
1. When no linear relationship exists between variable X and variable Y, r equals which of the following? a) −∞-∞ b) -1 c) 0 d) +1 e) +∞+∞ 2. Pearson’s r correlation measures the relationship between which of the following? a) Two continuous variables b) Two categorical variables c) One continuous and one categorical variable
Question #1 Explain what is meant by a positive relationship between two variables and a negative relationship between two variables. Describe examples of situations in which one would expect to find a positive relationship and when one would expect to find a negative relationship. Can one assign direction when both variables in a table are dichotomous?