Using a minitab create the following

Individual scatter plots for each of the dependent variables (temperature, pressure, relative humidity, and exhaust vacuum) versus the net hourly electrical energy output. Comment on the linearity assumption and which Independent variables you believe most impact the net hourly electricalr energy output. Compute the parameters of the individual linear regression models and produce a graph of the data points and the linear regression model developed. Compute the value of szor each variable. Comment on which independent variablefs) you believe most impact the net hourly electrical energy output and justify your response numerically, if possible. Compute the parameters of a multiple linear regression model using all of the independent variables to predict the net hourly electrical energy output of the plant. Compute the value of R2. Produce a graph of the residuals of each of the independent variables. Comment on the fit of your model and the prediction of the net hourly electrical energy output and justify your response numerically, if possible. Comment on the heteroscedasticity/ homoscedasticity of the residuals of each of the independent variables. Remove the independent variable(s) that you believe least contributes to the linear regression model of the net hourly electrical energy output of the plant. Compute the parameters of a multiple linear regression model using the revised data set. Compute the value of Rzand adjusted R2 of the new model. Justify your selection of the independent variable(s} you removed. Compare the R2 and adjusted R2 of your revised model versus the R2 and adjusted Rzof the model using all independent variables. Comment on the difference. Which model do you believe is better - the model with all variables or the simplified model? Explain