The trending status (favorable trend, no significant trend, unfavorable trend) is determined by:
A line of best fit is calculated for the past six months of data using linear regression.
Formula: Y = B0 + B1X,
where B0 is a constant (intercept), B1 is the slope (regression coefficient),
X is the value of the independent variable (Month),
and Y is the value of the dependent variable (value of metric).
The slope and p value for the slope of the line is extracted and a trend type is determined using a 90% condfidence interval.
A favorable trend is defined as:
First Pass Acceptance Metrics: If the slope of the line is positive and the p value <= 0.1.
Other Metrics: If the slope of the line is negative and the p value <= 0.1.
An unfavorable trend is defined as:
First Pass Acceptance Metrics: If the slope of the line is negative and the p value <= 0.1.
Created, Aged, and Open Supplier NCs: If the slope of the line is positive, the P value <= 0.1
and the number of NCs for current month >= 5.
Other Metrics: If the slope of the line is positive and the p value <= 0.1.
A neutral (not significant) trend is defined as:
Created, Aged, and Open Supplier NCs: If the P value > 0.1 or if the P value <= 0.1
and the number of NCs for current month < 5.
Other Metrics: The p value > 0.1.
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