Question: A Researcher is trying to develop a Linear Regression Model (a.k.a., a Forecasting/Prediction Meqdel) to forecast/predict company's Monthly Sales Figures. [1) Which is the Dependent

 A Researcher is trying to develop a Linear Regression Model (a.k.a.,

A Researcher is trying to develop a Linear Regression Model (a.k.a., a Forecasting/Prediction Meqdel) to forecast/predict company's Monthly Sales Figures. [1) Which is the Dependent (Y-Axis) Variable for this problem: Monith sales [2] Which are the Independent ( x-Axis) Variables for this problem:WEB advetivimg gand Radio aduerth [3] Please plot Scatter Diagrams: Dependent Variable versus EACH of the independent Variables. Is the observed relationship in each Scatter Dlagram, positive, negative or no apparent relationship? Please explain clearly. [4] Develop a Linear Regression Model (Forecasting Equation) using Dependent Variable and your FIRST Independent Variable. Write the Linear Regression Model and its R-Square and Adjusted R-Square coefficients below: [5] Develop a Linear Regression Model (Forecasting Equation) using Dependent Variable and your SECOND Independent Variable. Write the Linear Regression Model and its R-Square and Adjusted RSquare coefficients below: [6] Develop a Linear Regression Model (Forecasting Equation) using Dependent Variable with BOTH Independent Variables included: Write the Linear Regression Model and its R-Square and Adjusted RSquare coefficients below: [7] What does the R-Square Coefficient measures? [8] Is the R-Square or the ADJUST R-Square a better measurement coefficient for Multiple Regression? Why? [9] Which of the above three Linear Regression Model would you choose to use when making a sales forecast? Please explain clearly

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