In a relationship between two variables the independent variable refers to the cause.
Explanation:
In a relationship between two variables the independent variable refers to the cause and the dependent variable refers to the effect. It means there is a cause and effect relationship.
In a relationship between two variables the independent variable refers to the
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
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)
Based on the graph depicting the relationship between two variables above, you would conclude the variable 2 b variable 1 Independent variable: discrete/nominal, relationship best tested with univariate test (e.g. analysis of variance)n 1 independent variable: continuous; relationship best tested with bivariate test (e.g. linear regression) dependent variable: discrete/nominal; relationship best tested with contingency test (e.g. chi-square) dependent variable: continuous; relationship best tested with bivariate test (e.g. linear regression)
22. The coefficient of determination explains the relationship between two variables the proportion of variance in one variable accounted for by another variable and vice versa the cause–effect relationship between two variables all of the above 23. The ____________ assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line. a. homoscedasticity b. linearity c. curvilinearity d. heterolinearity 24. The strength of a relationship between two variables in correlation...
2, It is known that the quantitative relationship between the dependent variable Y and the independent variables X and 2 is: A. Make a Table and draw the graph of the relationship between Y and X when the numerical value of Z is: B. Make a Table and draw the graph of the relationship between Y and Z when the numerical value of X is: C. Make a Table of the value of the rate of change of Y with...
2, It is known that the quantitative relationship between the dependent variable Y and the independent variables X and 2 is: A. Make a Table and draw the graph of the relationship between Y and X when the numerical value of Z is: B. Make a Table and draw the graph of the relationship between Y and Z when the numerical value of X is: C. Make a Table of the value of the rate of change of Y with...
We
want to determine the strength of the relationship between the
independent variable "age" and the dependent variable "intelligence
quotient". In our sample, the mean of the variable "age" is equal
to 14, and its variance is equal to 46,4. The mean of the variable
"intelligence quotient" is equal to 102, and its variance is equal
to 0. The list of corresponding data for the two variables is
pictured below.
Determine the value of the correlation coefficient between the
two...
Besides your independent variable, what other factors (additional variables, additional types of information) might you consider in trying to improve your understanding of the relationship between the assigned independent and dependent variable? Why? Be sure to specifically address the strength of the relationship you uncovered in the previous question. Do not provide a general discussion of regression.
When we say that the relationship between two variables may be caused by a third variable, we are d specifying what the third variable is. employing faulty reasoning O specifying that there can be only three interpretations ar O often not specifying what that third variable is.
A sample of 7 observations collected in a regression study on two variables, x(independent variable) and y(dependent variable). The sample resulted in the following data. SSR=26, SST=40 Using a 0.05 level of significance, we conclude that there is a significant linear relationship between x and y. (Enter 1 if the conclusion is correct. Enter 0 if the conclusion is wrong.)