roup 1 Correlation and Regression Group 0 questions Image description: computer monitor showing several line graphs and tables. The background of the screen is black and the tables and graphs are light in color. Correlation is the relationship that exists amongst any number of variables. Regression analysis, used in combination with Correlation, involves the building of mathematical models that allow us to make forecasts by inputting variables. The forecasts created with these can be exceptionally important for everyday life. Watch the following video to learn how forecasts made with regression models can keep people safe. TheFutureofWeatherForecastingT... .pdf 27 KB TheFutureofWeatherForecastingD... .pdf 29 KB As you noticed in the video, the mathematical models can be very complicated due to the many variables that can be involved in the correlation. We will build our own mathematical models in order to make forecasts in Excel. Correlation and the Coefficient of Determination Determining the correlation coefficient is the first step in any regression analysis. We will then use the correlation coefficient to calculate the coefficient of determination. The coefficient of determination is a percentage and it shows the proportion of the correlation coefficient is due to the actual relationship between the variables. If you subtract the coefficient of determination from 1 (or a hundred percent if it is in percentage form), you will get the proportion of the correlatio