The statistical test that one should use to test relationship between categorical independent variable and a continuous dependent variable
- One way Analysis of Variance (One way ANOVA)
what stat test should i use to test relationship between catagoricsl independent variabel and a continuous...
please help with 16 and 17
Styles Paragraph Font What type of variables influence the relationship between the independent variable and dependent variable? 16. a. continuous b. discrete c. extraneous d. accidental What is a statistician testing for when he or she compares the level of blood clotting factors of various subjects by test 1 (prothrombin time) to the levels of the same subjects by test 2 (S2236 thrombin assay)? 17. a. validity b. reliability c. placebo effect d. cause...
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)
The primary factor that determines the statistical test students should use is the number of independent and dependent variables. True or False When investigating the relationship between two or more quantitative variables, chi-square is the appropriate test.True or False The Pearson correlation coefficient measures the association between two quantitative variables, distinguishing between the independent and dependent variables.True or False Multiple regression is used when there are several dependent variables and one independent quantitative variable.True or False When testing for 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
1.The Breusch-Pagan test for heteroskedasticity A. tests for a relationship between the estimated residuals and the independent variables B. tests for a relationship between the squared estimated residuals and the independent variables C. tests for a relationship between the estimated residuals and the dependent variable D. tests for a relationship between the squared estimated residuals and the dependent variable 2. In the presence of heteroskedasticity hypothesis testing is unreliable (T/F) 3. Plotting the residuals (predicted errors) against the independent variables...
In controlled comparison research, the observed relationship between an independent variable (X) and a dependent variable (Y) may be caused by some other, uncontrolled compositional difference (Z). So, we always ask, “How else, besides the independent variable, are the groups I am comparing not the same?” For the hypothesis below, do the following: (i) Think up a plausible alternative causal variable. (ii) Describe how this variable might affect the relationship between the independent variable and the dependent variable. In a...
A study was conducted to examine the relationship between variable X (independent variable) and Y (dependent variable). The Excel output is given in the "Graphs Document". A data point in the above regression is (x,y) = (191,382). What is the residual of this data point? O 72.36 70.33 o o 0-69.75 O 81.25 O None of the options t Intercept X variable Coefficients 95.84 1.13 Standard Error 116.65 0.132 Stat 0.821 8.547 P-value 0.418 0.0000005
Descriptive statistics concerning the relationship between age and net sales (correlation coefficient) what is the independent variable and the dependent variable?
What is the relationship between Return On Investment and Current Ratio ? What is the relationship between Return On Investment and Operating margin ? -- Return on Investment (ROI) is a Dependent Variable Current Ratio and Operating margin are Independent Variables