Question: How many indicator variables are need to code a categorical variable with8 levels (Example: A,B,C,D, E, F, G, H)? Report the number of indicator variablesrequired
- How many indicator variables are need to code a categorical variable with8 levels (Example: A,B,C,D, E, F, G, H)?
- Report the number of indicator variablesrequired to code 2 different categorical variables.
The first categorical variable has 3 levels (example High, Medium, Low)
The second categorical variable has 4 levels (Example: Red, Yellow, Green, Blue)?
3) Assume the following population model on books:
y=0+1x1+2x2
yis the mean cost to print books.
x1
is number of pages in the book.
x2
is an indicatorvariabletaking thevalue of 1 for hardcover book 0 for a soft cover book.
In this example assume the population parameters0,1,2
are positive.
What is the populationmean difference in the cost of a hardcover book andsoft coverbookwith the same number of pages?
plusmore for a hardcover book.
more for a hardcover book.
more for a hardcover book.
more for a hardcover book.
4)Error Degrees of Freedom are calculated as n - p - 1 for multiple regression models.The p represents the number of coefficients (not including the intercept) in the estimated model.
Report the Error Degrees of Freedom for this example:
Assume 160 observations are used to estimate afirst order model with 4 different numerical explanatory variables.
5)ErrorDegrees of Freedom are calculated as n - p - 1 for multiple regression models.The p represents the number of coefficients (not including the intercept) in the estimatedmodel.
Report the Error Degrees of Freedom for this example:
Assume 160 observations areused to estimate amodel with 2 numerical explanatory variables both with a linear relationship to the response and 1 categorical explanatoryvariable.The categorical variable has 4 levels.
6)ErrorDegrees of Freedom are calculated as n-p-1for multiple regression models.The p represents the number of coefficients(not including the intercept)in the estimatedmodel.
Assume160observations are used to estimate amodel with2 numericalexplanatory variables both with a linear relationship to the response.In addition there is one categorical variable with 3 levels and another categorical variable with 4 levels.
Report the Error Degrees of Freedom.
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