Regression Examples

Example 3: CMVP Data Analysis

Dataset: Heating Degree Days vs Monthly Energy Consumption

X (Heating Degree Days):
[511.25, 495.9, 372.95, 315.2, 276.55, 268.7, 173.3, 137.75, 235.1, 320.8, 410.6, 461.9]

y (Monthly kWh):
[1853.03, 1929.02, 1677.2, 1559.8, 1438.4, 1448.5, 1209.6, 1108.1, 1422.6, 1480.5, 1660.1, 1741.2]

Regression Results:

Equation: Loading...

R-squared: Loading...

Correlation: Loading...

Sample Size: 12 data points

📈 Analysis Insights

This dataset demonstrates the typical relationship between heating degree days and energy consumption. As heating requirements increase (more degree days), energy usage tends to increase proportionally. The R-squared value indicates how well the linear model explains the variance in energy consumption.

📊 Original Excel Analysis

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📊 Regression Analysis Examples

Example 3: CMVP Data Analysis

Regression Results:

📈 Analysis Insights