Question
1. T/F and explain: In simple linear regression there can be only one independent and one...
1. T/F and explain: In simple linear regression there can be only one independent and one dependent variable, but in multiple regression there can be more than one independent variable and more than one dependent variable.
.2. From regression, using you own words, define the Error Term.
3. Why is it important to check for correlation between independent variables in multiple regression?
4. Assume two of your right hand side variables are correlated. What techniques are available to you to correct this problem?
a.
b.
c.
5. Assume your Alpha value is .05. After running a regression with 4 independent variables you find the following P values:
Var1 P=7.0 Var2 P=0.7 Var3 P=0.07 Var4 P=0.007
What is the appropriate next step?
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