Now, we would like to investigate the impact of all variables: To that end, run a regression model with "Sales" as the response variable and all other explanatory variables; based on this model, you can conclude that (pick only one answer) 1. This is a poor model for sales. 2. The number of outlets is the most significant predictor for sales 3. The relationship between marketing and sales is not significant/ not useful. 4. For every increase in vehicles by 6.5 cars, sales increase by $1. 5 More than 10% of the variation in sales is not explained by this model