Surname your surname Id - your student ID XY (initials) - your initials Project name_-Surname_Id_Midl - The names of all variables, arrays, must end with your initials. - This will be taken inte acceunt when evaluating work independence. - At the end of the midterm, please send the zipped project (1 file) to Platon. - In the event of a claim, please keep the project and zipped project unmodified (time stamp unmodified). Your calculation data is named: "data_nn.txt", nn is your attendance number (look at the attendance list you sign). Download your data file. Check if it's your data. The file contains your name, surname, ID. Task 1 Quantitative model We think that the variables X=(X1,X2,) are independent variables explaining the magnitude of the variable Y. - Based on the data collected in the data_nn.txt file, build a linear regression model of the following form: where: Xb=Y X=[1,X];b=[b6,b1,]T - Write the figure of the model clearly. - Explain the model in the comments. - Calculate the model-derived Y values (theoretical values, forecast) for the observed ten consecutive observations of the vector of independent variables X, starting with the observation number equal to your ID modulo 100 , - Explain your calculations in the comments. Task 2 qualitative model X as before in Task 1. - From variable Y, create a new variable Yp(p= probability). - Create Yp according to the scheme: Yp can only take values from interval [0,1). We interpret Ypp as the probability of saccess. We think that the variables X=(XI,X2,) are independent variables determining Yp the probability of success. We want to build a model that allows you to determine the probability of success based on the value of the X vector. Task 3 qualitative model linear model - Based on the data collected in the data_nn.txt file, build a linear regression model of the following form: probability =Xb Write the figure of the model clearly. Explain the model in the comments. - Calculate the model-derived Y values (theoretical values, forecast) for the observed ten consecutive observations of the vector of independent variables X, starting with the observation number equal to your ID modulo 100 . - Explain your calculations in the comments. Task 4 qualitative model probit model - Based on the data collected in the data_nn.txt file, build a linear regression model of the following form: probit=0+1X1+2X2++2X4probability=(probit5) Write the figure of the model clearly. Explain the model in the comments. - Calculate the model-derived Y values O (theoretical values, forecast) for the observed ten consecutive observations of the vector of independent variables X, starting with the observation number equal to your ID modulo 100. - Explain your calculations in the comments. Task 5 qualitative model logit model - Based on the data collected in the data_nn.txt file, build a linear regression model of the following form: logit=0+1X1+2X2++kXkprobability=(probit5)probability=1+exp(logit)exp(logit) Write the figure of the model clearly. Explain the model in the comments. - Calculate the model-derived Y values 0 (theoretical values, forecast) for the observed ten consecutive observations of the vector of independent variables X, starting with the observation number equal to your ID modulo 100 . - Explain your calculations in the comments
