Read the following problem and answer questions given below: The following table lists a savings account’s future values in selected years. 1. Create a scatter plot of the given data. Label the axes and scales, and provide a title. What type of function would best model the data? Explain your reasoning. 2. Calculate the regression equation for the given data. Graph the regression equation on the scatter plot in Question 1. Year Balance 0 2600 5 3201.50 10 3942.20 15 4854.16 20 5977.16 25 7359.95 30 9062.70 *
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.
Read the following problem and answer questions given below: The following table lists a savings account’s future values in selected years. 1. Create a
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