Meat Consumption Chronicles

Our objective was to use a linear regression model to predict an outcome using depedant(target) and independant(features) variables.

In our analysis meat consumption was our depandant variable. We utilized 35+ features into our model to make our prediction.

• BLS.gov/Consumer_Expendenture

• Interviewers - Bigger purchases

• Diary - Minor purchases

Collected by U.S Census Bureau

The Consumer Expenditure Survey (CE) is a nationwide household survey conducted by the U.S. Bureau of Labor Statistics (BLS) to find out how Americans spend their money.

• The C.E is the basis for the Consumer Price Index.
• Each quarter about 3,000 people kept a diaries for a two week period.

1. What is the impact of meat consumption on:

• Generation
• Marital Status
• Region
• Gender

2. Does High Income and Small Family Size mean more meat consumption?

What is the impact of Generation and Marital Status on meat consumption?

1. Observation - Generation

Our observation shows Millennials are less likely to purchase meat than Baby Boomer

2. Observation - Marital Status

Our observation shows married couples are more likely to purchase more meats than the other marital groups

Which Region eats more or less meat?

1. Observation - Region

Uncontrolled Group

Income Controlled Group

Our observation shows when we control for income, meat per person in the South becomes more pronounced

Which Gender consumes more or less meat?

1. Observation - Gender

Our observation shows women are more likely to spend less on meat than men. The long right tail of the men money spent on meat histogram shows that men spend more.

Does High-Income and Small Family Size show more meat consumption

1. Observation - High Income and Family Size

Our observation shows that low-income families and small family size tend to purchase more meat than families with higher income and bigger family size

• Education - Categorical - 5 Variables
• Gender - Categorical - 2 Variables
• Location - Categorical - 4 Variables
• Marital Status- Categorical - 5 Variables
• Family Size- Categorical - 5 Variables

• Meat Purchase - Continuous
• Tobacco Purchased - Continuous
• Alcohol Purchased - Continuous
• Vegetables Purchased -Continuous
• Income - Continuous/Categorical
• Age - Continuous/Categorical

In total 35+ Features used in our model

Negative Coefficients

• Single Millennials
• Women Millennials
• Family Members of More Than Four

Positive Coefficients

• Veggie Person
• No High School Education
• High Income
• Baby Boomers
• Men
• Two or More Family Members

From a business standpoint Baby Boomers from the South buy more meat which can lead to possible increase in sales.