2) During a 6 weeks period, a Quick Sell dealer kept a weekly record of the number x of TV ads versus the number y of cars sold. The result is given in the following table: 8. 2 15 12 18 Y 14 12 10 17 18 20 a) Draw a scatter-plot diagram. Remember to name the axes. b) Based on the scatter-plot diagram, would you estimate the correlation coefficient to be positive, close to zero, or negative? c) Use your calculator to find the coefficient of regression and the equation of best fit. Coefficient of Regression r Equation of the line of best fit
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.
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