Recommendations for Massachusetts A Linear Model of Innovation

Data compiled by Spencer Wakahiro and Áine Russell

Abstract

The purpose of this data analysis is to make recommendations for the state of Massachusetts for future investments in order to further innovation in this state. Linear models of regression are plotted to indicate the data trends across different industries in this state. Hypothesis testing was implemented to show correlations between GDP and education.

Applied Research

ear Model of Innovation can be very usefun determining how to create a policy to foster innovation within the state. The key to an effective model is to pick the right indicators and we believe that we have done just thisIn

Residuals GDP versus Startup data

Final RecommendationWe would like to recommend different measures for the state of Massachusetts in order of effectiveness and priority base on our analysis. Invest more money in education to create a strong base for the model of innovation. Then, change policies (like patent fees or other taxes) to give startups an incentive to put more money into research and development, thereby fostering greater innovation