If Computing a Causal Linear Regression Model of Y =

question 19

Multiple Choice

If computing a causal linear regression model of Y = a + bX and the resultant r² is very near zero,then one would be able to conclude that

• A)Y = a + bX is a good forecasting method.
• B)Y = a + bX is not a good forecasting method.
• C)a multiple linear regression model is a good forecasting method for the data.
• D)a multiple linear regression model is not a good forecasting method for the data.
• E)None of the above

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Definitions:

Secondary

Refers to the coil or winding in a transformer that receives energy from the primary winding and delivers it to the load.

Hysteresis

The lag in response exhibited by a body when external forces are applied and removed, often observed in magnetic and mechanical systems.

Distribution Transformer

A common transformer used by utility companies to change their line voltage into the 240/120 volts necessary to operate homes and small businesses.

Auto

Often short for automobile; a self-propelled passenger vehicle commonly used for transportation.