Question: Determine Linear Prediction Rule for Predicting Violent Acts from Watching TV and figure out the sum of squared errors and Explain why the sum of squared errors must be lower than the sum of squared errors for any other linear prediction rule.

Child’s Code Weekly Viewing of Violent TV # of Violent Acts

G3368 14 9

R8904 8 6

C9890 6 1

L8722 12 8

M = 10 6

Use the linear prediction rule to figure the predicted number of violent acts for children watching the following number of hours of violent television: 7, 9 and 11.

Explain what you did.

Create Scatterplot Diagram showing the Regression Line for the following linear prediction rule:

\(\hat{Y}\) = -2 + (.20)(X) and Figure out the Sum of Squared Errors