Regression Analysis

correlation.

regression.

residual.

slope.

minimise

maximise

optimise

None of the above.

 $m=0$  

 $m<0$  

 $m>0$  

 $m\ne0$  

 $m=0$  

 $m<0$  

 $m>0$  

 $m\ne0$  

 $m=0$  

 $m<0$  

 $m>0$  

 $m\ne0$  

Y is -2.4 if X = 1

Y-intercept is -0.6.

X is dependent to Y.

the slope is downward.

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.

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.

To make the graph looks pretty.

To connect the point.

To indicate where all data points should lie.

To make predictions.

nominal or ordinal.

ordinal or ratio.

interval or ratio.

nominal or interval.