4. In analyzing the relationship between two variables, a scatter plot can be used to detect which of the following? a. A positive linear relationship b. A curvilinear relations ship c. A negative linear relationship d. All of the above 5. Which of the following is a correct interpretation for the regression slope coefficient? a. For a one-unit change in y, we can expect the value of the independent variable to change by b1 units on average b. For each unit change in x, the dependent variable will change by b1 units c. The average change in y of a one-unit change in x will be b1 units d. The average change in x of a one-unit change in y will be b1 units
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.
![4. In analyzing the relationship between two variables, a scatter plot can be used to
detect which of the following?
a. A positive linear relationship
b. A curvilinear relations ship
c. A negative linear relationship
d. All of the above
5. Which of the following is a correct interpretation for the regression slope
coefficient?
a. For a one-unit change in y, we can expect the value of the independent
variable to change by b1 units on average
b. For each unit change in x, the dependent variable will change by b1 units
c. The average change in y of a one-unit change in x will be b1 units
d. The average change in x of a one-unit change in y will be b1 units](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8fb2af57-2c02-4cd2-b1f8-011cb5bd1de2%2F666b4a51-b8de-43da-88a1-32c725dac725%2Fhs363kk_processed.jpeg&w=3840&q=75)
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