Based off of the information below DRAW a scatter plot and that is the answer to the question. An image of a scatter plot with this information is the answer I am looking for.

Scatterplot of Packs vs. Price: Scatterplot of Packs vs. Income:

In this preliminary analysis, we'll compute important descriptive statistics for each quantitative variable in the "packs.csv" dataset and make scatterplots of the response variable (packs) versus each predictor variable (price and income).

Descriptive Statistics:

Packs: Mean packs: 4.84915 Variance packs: 0.15966 Min packs: 4.40859 Max packs: 5.37906 Price: Mean price: 0.19891 Variance price: 0.00273 Min price: -0.0326 Max price: 0.36399 Income: Mean income: 4.78131 Variance income: 0.02178 Min income: 4.52938 Max income: 5.10268

Based on the provided information, you can create a scatter plot for each predictor variable (price and income) against the response variable (packs). Here's how you can do it:

Scatter plot for Packs vs Price:

On the x-axis, plot the price values ranging from the minimum price (-0.0326) to the maximum price (0.36399). On the y-axis, plot the packs values ranging from the minimum packs (4.40859) to the maximum packs (5.37906). Each point on the scatter plot represents a pair of (price, packs) from your dataset. Scatter plot for Packs vs Income:

On the x-axis, plot the income values ranging from the minimum income (4.52938) to the maximum income (5.10268). On the y-axis, plot the packs values ranging from the minimum packs (4.40859) to the maximum packs (5.37906).