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# 3.3

### Multiple Regression

TermDefinition
Multiple regression uses more than one _____ variable. Independent
Occurs when a given data point on a time series analysis is affected by a previous data point for that time series. Autocorrelation
Occurs when all of the random variables have the same general finite variance. Homoscedasticity
The random variables have an unequal spread of variances Heteroscedasticity
Can be applied when the dependent variable is a categorical, binary variable. Logistic Regression
We use the amount of snow fall in inches to predict if Suzie calls off work. Which regression is this? Logistic. Calling off work is binary. Yes or no.
We use the amount of snow fall in inches monthly to predict employee call-off rates. Which regression is this? Linear or Least Squares regression. Call-off rates are numbers.
We use the amount of snow fall in inches monthly and the employee's previous call off rates to predict call offs next month. Which regression is this? Multiple. We have more than one independent variable.
We use the amount of snow fall in inches monthly and the employee's previous call off rates to predict call offs next month. This analysis can be affected by ______. Autocorrelation. Whenever time is an independent variable, you can may this.
y = 50 + 20x1 - 10x2. If x1 = 2 and x2 = 6, solve for y. y = 50 + 20(2) - 10(6) y = 50 + 40 - 60 y = 30
Created by: mgallo3
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