Percentage Who Won't Try Don't Approve of Marriage Equality Use the data to the right to complete parts (a) through (d) below. Sushi Generation Millennials Gen X Boomers Silent/Greatest Generation 43 37 50 42 57 48 77 69 a. Determine the correlation coefficient between the percentage of people who won't try sushi and the percentage who do not approve of marriage equality (Do not round until the final answer. Then round to two decimal places as needed.) b. What explanations can you offer for the correlation coefficient in part (a)? Choose the correct answer below. O A. Unwillingness to try sushi and disapproval of marriage equality have no correlation. B. Unwillingness to try sushi and disapproval of marriage equality have a weak positive correlation. OC. Unwillingness to try sushi and disapproval of marriage equality have a strong negative correlation. O D. Unwillingness to try sushi and disapproval of marriage equality have a strong positive correlation. c. Find the equation of the regression line for the percentage who won't try sushi and the percentage who don't approve of marriage equality. y •(D (Round to two decimal places as needed.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps