I just want to know the answer for Q1 and Q2.

Question 1 (1 point) Given the residual plot here: i,\" - Which one of the following is the best conclusion based on the residual plot? 0 The fitted regression line overestimates the data. 0 The fitted regression line underestimates the data. 0 It is not appropriate to fit a straight line to these data since there is clearly no correlation. O The data are not normally distributed. waI-I awn Lawton- ( Question 2 (2 points) The relationship between number of beers consumed (x) and blood alcohol content (y, in percentage) was studied in 16 male college students by using least-squares regression. The following regression equation was obtained from this study: I'\\ y = 0. 0127 + 0. 01809: Just need to choose one appropriate answer: 1, 2, 3 or 4 number of beers consumed \\._ The explanatory variable is For every one unit increase in number of beers consumed (x), the blood alcohol content (y, in percentage) will increase by . 0.0180% blood alcohol content -0.0127/ own