In your initial post, be sure to address the following:
What challenges have you encountered writing the scripts this week?
What were the different models you explored this week?
What was one important statistic from the regression outputs that you studied this week? Which statistic was the hardest for you to interpret and why?
How might this model be useful in the real world?
Hello,
I am starting to get a lot better with writing the script. I have not begun writing the script for this
week, but I don’t feel that I should run into many issues if any. This week I started exploring different regression models that consisted of quadratic models, complete second-order models, and higher order models which is also known as polynomial regression models. When working with quadratic models and a quadratic equation is graphed it will show the relationship between the variables as being represented by a parabola. All of the possible first and second-order and their interaction terms are included when working with a complete second-order model. We use higher-order models (polynomial regression) when the relationship between the predictor variable and the response variable in nonlinear. I learned about incorporating squared terms into
quadratic equations and I feel this is an important statistic to learn. I feel that quadratic equations
can be used in several different scenarios and or situations. This model can be used to determine the projection of an object such as the distance of travel and the time it will take to reach that distance. This can be determined by using a quadratic equation and can be used when analyzing a free moving object in an inverse squared field. This can be used when looking at how gravity and or electricity will potentially move along a path determined by the quadratic equation. A quadratic equation is used during baseball games to determine the trajectory of a home run.
