You are working as a research assistant in the local government of California state in USA. The local authorities are thinking what they can do in order to improve the learning experience {and consequently the average test scores] in their districts and they ask you to do a quantitative research that would allow them to measure and quantify how specific factors that they have impact on, influence the average test scores in the state districts. Tasks: ll Make a list of possible factors [determinants] that impact the average test scores in Californian districts. Take into account the factors can be controlled by the local government (e.g. STR student teacher ratio) but also factors that are beyond the control of the government. Justify what relation do you expect between each factor and the average test scores Your colleagues has already collected some data {which you can find in caschoolgdtl. Select three regressors only and estimate the econometric model. Give interpretation of the estimated parameters, comments on their individual and joint significance. Test two linear restriction (of your own choice) that include a combination of at least two population parameters. Discuss as well the goodness of fit of the model Propose a baseline model and a set of alternative models. In work take into account various set of regressors in alternative models as well as variants of the functional form of the model. Estimate each model, make a table that summarizes the most important estimation results and thoroughly justify which model would you select as a finite model that would be used to make recommendations to the local government