b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables? The scatter diagram indicates a Select your answer - v linear relationship between x = speed of execution rating and y = overall satisfaction rating for electronic trades. c. Develop the least squares estimated regression equation. Enter negative value as negative number. Satisfaction = Speed (to 4 decimals) d. Provide an interpretation for the slope of the estimated regression equation. The slope of the estimated regression line is approximately (to 4 decimals). So, a one unit Select your answer - v in the speed of execution rating will increase the overall satisfaction rating by approximately points (to 1 decimal). e. Suppose Vanguard Brokerage Services developed new software to increase their speed of execution rating. If the new software is able to increase their spe of execution rating from the current value of 2.4 to the average speed of execution rating for the other 10 brokerage firms that were surveyed, what value would you predict for the overall satisfaction rating? (to 3 decimals)
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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