Regression Analysis

A process by which we estimate the value of dependent variable on the basis of an independent

variable is called

• correlation.

• regression.

• residual.

• slope.

The method of least square regression is used to ___________ the residuals.

• minimise

• maximise

• optimise

• None of the above.

For the regression line of  $Y\ =mX+b$  , slope will be upward if

•  $m=0$  
  

•  $m<0$  

•  $m>0$  

•  $m\ne0$  

For the regression line of  $Y\ =mX+b$  , slope will be downward if

•  $m=0$  
  

•  $m<0$  

•  $m>0$  

•  $m\ne0$  

The straight line of the linear equation of  $Y\ =mX+b$  , slope is horizontal if

•  $m=0$  
  

•  $m<0$  

•  $m>0$  

•  $m\ne0$  

The regression formula of $Y\ =3-0.6X$  indicates that

• Y is -2.4 if X = 1

• Y-intercept is -0.6.

• X is dependent to Y.

• the slope is downward.

The purpose of regression analysis is to

• obtain a value of X from a value of Y.
  

• illustrate the correlation using the scatterplot.
  

• measure the degree of association between two variables.

• predict a value of dependent variable using the value of an independent variable.

What are residuals?

• Extreme scores.

• The ratio of explained variation to the total variation.

• The mean between the observed scores.

• The differences between the observed and expected dependent variable scores.

What is the regression equation used for?

• To make the graph looks pretty.

• To connect the point.

• To indicate where all data points should lie.

• To make predictions.

Simple linear regression requires that the scales of measurement be expressed in either

• nominal or ordinal.

• ordinal or ratio.

• interval or ratio.

• nominal or interval.