1. A characteristic of interest for the elements is called: A. a sample B. a data set C. a variable D. an observation 2. What does the correlation coefficient (r) measure in a correlation analysis? A. The strength and direction of a linear relationship between two variables. B. The causal relationship between two variables. C. The difference between the means of the two groups. D. The variability of a single variable. 3. You work as an analyst for a retail company, and you are interested in understanding how advertising spending (independent variable) affects monthly retail sales (dependent variable). In a simple linear regression equation, what does the regression slope coefficient (B1) represent in this scenario? A. The average monthly retail sales for all companies B. The change in average monthly retail sales is associated with a one-unit increase in advertising spending. C. The number of companies included in the analysis. D. The intercept of the regression line.
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1. A characteristic of interest for the elements is called:
A. a sample
B. a data set
C. a variable
D. an observation
2. What does the
A. The strength and direction of a linear relationship between two variables.
B. The causal relationship between two variables.
C. The difference between the means of the two groups.
D. The variability of a single variable.
3. You work as an analyst for a retail company, and you are interested in understanding how advertising spending (independent variable) affects monthly retail sales (dependent variable). In a simple linear regression equation, what does the regression slope coefficient (B1) represent in this scenario?
A. The average monthly retail sales for all companies
B. The change in average monthly retail sales is associated with a one-unit increase in advertising spending.
C. The number of companies included in the analysis.
D. The intercept of the regression line.
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