Which of the following best describes the scatter plot and its simple linear regression fit? O O O 2 Select one: O a. The assumptions for simple linear regression inference are met, and there's a significant correlation between x and y. O b. The assumptions for simple linear regression inference are NOT met because the standard deviation for y is not constant. O c. The assumptions for simple linear regression inference are NOT met because the overall pattern of the scatter plot isn't a straight line. O d. 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 O e. The assumptions for simple linear regression inference are NOT met because there are outliers in the data.. QUESTION 43 1. The main difference between simple linear regression and multiple regression is: Multiple regression uses more than one response variable, while simple linear regression only uses one. Simple linear regression uses more than one response variable, while multiple regression only uses one. Multiple regression uses more than one explanatory variable] while simple linear regression only uses one. Simple linear regression uses more than one explanatoryr variable, while multiple regression only uses one. There is no obvious difference between these analyses. Recall the Poisson distribution from class notes. Assume X follows a 'zero-inflated' Poisson distribution, which has pmf fx(1) = p+ (1-pg(x)