Regression Analysis

WHAT IS REGRESSION ANALYSIS

• a statistical tool that measures the relationship between variables

• a statistical tool that describes variables

• a statistical to model time series data

• a statistical tool to measure a continuous data

Linear regression is a statistical regression method which is used for

• Predictive Analysis

• Real Analysis

• Complex Analysis

• Functional Analysis

The main purpose(s) of (LR) is/are (choose all that apply):

• Exploring the relationship between one variable and another

• Describing the relationship between one variable and another

• Predicting one variable on the basis of another

• Explaining one variable in terms of another

When writing regression formulae, which of the following refers to the predicted value on the dependent variable (DV)?

• Y

• Y (hat)

• X

• X (hat)

• a

In linear regression, the residual refers to the difference between the predicted Y and actual Y values.

• True

• False

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A regression model in which more than one independent variable is used to predict the dependent variable is called as _________.

• a simple linear regression model

• a multiple regression model

• an independent model

Simple linear regression is

• unstandardized

• standardized

• only an inferential statistic

• only used when the predictor is a continuous variable

 $y=?+b_1x_1$  

The ? should be the...

• slope

• residual

• intercept

• outcome

The linear regression equation is y = 61.93x - 1.79.  Use the equation to predict how far this person will travel after 10 hours of driving.

• 10 miles
• 617.5 miles
• 0.19 miles
• 500 miles

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A restaurant sells pizza for the prices in the data table.  Calculate the linear regression equation of the data.

• y = 1.5x + 12
• y = 12x + 1.5
• y = 0.67x - 8
• y = -8x + 0.67

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