Which of the following best describes the scatter plot and its simple linear regression fit?
1) The assumptions for simple linear regression inference are met, and there's a significant correlation between x and y.
2) The assumptions for simple linear regression inference are NOT met because the standard deviation for y is not constant.
3) The assumptions for simple linear regression inference are NOT met because the overall pattern of the scatter plot isn't a straight line.
4) The assumptions for simple linear regression inference are NOT met because y doesn't follow a normal distribution around the regression line for each x.
5) The assumptions for simple linear regression inference are NOT met because there are outliers in the data.