In order to compare the relationship between two categorical variables, the best inference technique is____
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Chi-Square Test for Independence is used for comparing the relationship between two categorical variables
In order to compare the relationship between two categorical variables, the best inference technique is____
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.
Suppose that you are curious to find out if there is any relationship between two variables - 'gender and alcohol usage'. Discuss why hypothesis test of means may not be useful to make inference in this case. (4 marks)
In testing for correlation the relationship between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL A A) B) C) D) What formula is used to compute the slope of this line and its y intercept? E)
7. You have five quantitative variables and two categorical variables in a dataset. You would like to examine the pairwise relationship between all variables in the dataset. A) What kind of plots or tables are you going to use and why? B) How many unique correlation coefficients r are you expecting to calculate? Show your reasoning/calculations. (harder question)
11. Quantitative variables are also referred to as continuous or interval variables. 12. Categorical variables consist of separate, indivisible categories. 13. Categorical variables may also be refered to as nominal, ordinal, discrete, or qualitativ 14. A dichotomous variable is one that has only two possible levels or categories 15. Age is a quantitative variable, but one could recode the values so that it would be transformed into a dichotomous variable 16. When conducting a multivariate analysis, the best recommendation is...
A chi-square significance test is performed to examine the association between two categorical variables in a 6 x 6 table. What are the degrees of freedom associated with the test statistic? df= 5
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.
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.
Viewing a scatter plot is an important step in understanding the relationship between two interval variables. In a curvilinear relationship, the correlation alone can mask the relationship between variables. How would you calculate r and plot the scores in order to see if your calculations accurately reflect the scatter plot? XY 10 Respondent 10
In testing for correlation between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL APPLICABLE CHOICES D) E) None of these In testing for correlation the relationship between two variables, the best fitting line is often call the regression equation and denoted as SELECT ALL APPLICABLE CHOICES bi C) D) What formula is used to compute the slope of this line and its y intercept?