🚐 Minivan Market Analysis

Using Regression Analysis to Predict Demand

Minivan Demand Regression Equation

Sales = 11.32 − 5.09×Price + 0.04×Income + 0.79×Population + 1.52×(%Under18) + 1.32×Advertising + 3.6×Chrysler
Sales
Minivan sales (thousands of units)
Price
Our minivan price ($1,000s)
Income
Median family income ($1,000s)
Chrysler
Chrysler rival price ($1,000s)
Population
Market population (thousands)
Advertising
Minivan ad spend ($millions)
%Under18
% families with children under 18

Market Conditions

Adjust market factors to shift the demand curve. The highlighted point shows predicted sales at your chosen price.

Range: $30K to $90K. Current value: $60K. Higher income increases demand for minivans.
Range: 15K to 30K. Current value: 22K. Larger population increases demand.
Range: 15% to 40%. Current value: 28%. More families with young children increases minivan demand.
Range: $20K to $35K. Current value: $28K. Higher rival prices increase your demand (substitute goods).
Range: $0 to $8 million. Current value: $2M. More advertising shifts demand outward.
Range: $20K to $35K. Current value: $28K. This is your own price — it determines your position on the demand curve.

Current Analysis

Predicted Sales — K units
vs. Baseline —
Revenue —
Own-Price Elasticity —

Minivan Demand Curve

Predicted minivan sales at various price points, given current market conditions. Current price point is highlighted.
Price ($ thousands) Predicted Sales (thousands of units) Notes