100 80 60 40 20 ++ 5 6 7 8 9 10 11 1 2 Year (0 → 2005) Find the least squares regression line y = at + b for the data shown in the figure by solving the system using matrices. Let t represent the year, with t= 0 corresponding to 2005. ( 12b + 6ба %3D 831 66b + 506a = 5643 y = Use the result to predict the number of new cases of the waterborne disease in 2026. (Round your answer to the nearest whole number.) cases Number of new c=
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.



Step by step
Solved in 3 steps with 3 images









