# Lecture Notes for MATH 241 - Statistical Applications at St. Mary's (SMC)

## Notes Information

 Material Type: Note Professor: Staff Class: MATH 241 - Statistical Applications Subject: Mathematics University: Saint Mary's College Term: 1990 Keywords: Individual SamplingCorrect MethodBelow UnderThe IndependentAssumptionsRelationshipDeterminationVariabilityNo CorrelationMaintenance   ## Sample Document Text

Simple Linear Regression Regression expresses a relation used to predict one variable, called the response variable (or \dependent" variable { often called y), from other variables, called predictors (or \independent" variables { often called x1;x2;:::;xk ), and provides us with an equation to make this prediction. The regression equation that we calculate is descriptive of the sample (like sample mean, like sample standard deviation); we use various inference methods to see the extent to which we believe the description carries over to the population from which the sample is drawn. A sample question This table represent a sample of ten trucks; for each, we have with the age in years and the annual maintenance cost. We want to nd a linear equation, using this information, which most closely describes (\predicts") the [average] maintenance cost of a truck, based on its age. [Notice how the language tells us the 'predictor" is age and the 'response" (\predicted") is cost. Truck age cost number (yea...

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