context:

Use the following description to answer questions 1 - 2: A researcher wants to see the effects of age on lung capacity. She collects data on 650 people aged 421. She collects data on their age and FEV, which is a measure of lung capacity. She is going to use age to predict FEV. Is the following interpretation of R2 correct or incorrect? Why or why not? Assume the number has been calculated correctly. 57.2% of the variability in the data can be explained by age. Edit View Insert Format Tools Table 12pt v Paragraph B I U A & TV V B V . . .Is the following interpretation of R2 correct or incorrect? Why or why not? Assume the number has been calculated correctly. 57.2% of the variability in age can be explained by the linear relationship between age and FEV. Edit View Insert Format Tools Table 12pt V Paragraph BI U A &V T V V S V B V . . .After creating a regression model, you decide to check the assumptions. The scatterplot of the original data is shown below. Which condition is most clearly violated? "Had-J O Linearity 0 Equal Variance O Independence O Normality