2. As her children got older, Ms. A's child care expenses (in thousands of dollars per year) increase. a. State the dependent variable and explain your choice. [1C] b. Complete a scatter plot of these data. Label all axes and show the scale. Circle the outlier. Draw the scatterplot below or copy and paste a screen capture from Desmos, google sheets. Excel or the program you are using. [3C] c. Determine the correlation coefficient and the line of best fit. [2A] r= Equation of the Line of best fit: d. Determine the correlation coefficient and the line of best fit with any outliers removed. [2A] r= Equation of the Line of best fit: e. Use both models to predict Ms. A's expenses in the 17th year. [2A] Model c: Model d: f. Use both models to predict the year (to the nearest hundredth) in which Ms' A's expenses will reach $50000[2A] Model c: Model d: g. Is your line accurate? Use technology to generate a different type of model:exponential, or quadratic with the outlier removed. State the new model below. Which regression model is more accurate? Explain. [2A, 2C] Complete each of the questions below using desmos.com, google sheets, Excel or other program. 1. The attendance and marks for ten students are shown below. Each column represents one student. a. State the dependent variable and explain your choice. [1C] b. Complete a scatter plot of these data. Label all axes and indicate the scale. Circle the outlier. Draw the scatterplot below or copy and paste a screen capture from Desmos.[3C] c. Determine the correlation coefficient and the line of best fit. [2A] r= Equation of the Line of best fit: d. Determine the correlation coefficient and the line of best fit with the outlier removed. [2A] r= Equation of the Line of best fit: e. A student has 9 absences. Use both models to predict their grade. [2A] Model c : Model d: f. A student has a mark of 80 . Use both models to predict his/her number of absences. [2A] Model c: Model d