This demonstration corresponds to the Introduction to Statist. What is the name and observed value of the measure that tells us the 'percent of variation in the amount of damage for major residential fires that can be explained by the relationship with the distance between the fire and nearest fire station?' Based on this value, would you expect the estimates of the response (predictions) made by using this particular regression equation to be accurate? (n) For this data set, what values of explanatory and response variables, that is what coordinate pair (x,y), is the least-squares regression equation guaranteed to pass through? Note: If using Minitab Express, consider referencing the Summary Statistics table beneath the scatterplot generated in part (c) also see page 192 in the course text. This demonstration shows you how to do correlation and simple regression with Minitab Express.

With Minitab Statistical Software, it's easy to use the tools available in Stat > Regression menu to quickly test different regression models to find the best one. (m) 6 points] Refer to the Model Summary table from Minitab Express (or Simple linear regression results from Statcrunch) generated in part (e). Improvements made throughout the interface and output Report Cards and Diagnostic Reports for Graphical Analysis Multiple regression plus response. Use Partial Least Squares Regression (PLS) or Principal Components Analysis, regression methods that cut the number of predictors to a smaller set of uncorrelated components.

Multiple regression in minitab express