Whenever a categorical variable such as season has k levels, the number of dummy variables required is: a. 2k. b. k. c. k + 1.d. k - 1.

The number of dummy variables that will be required when a categorical variable has levels is: d. k - 1

Recall the general rule that applies in the number of dummy variables needed for categorical variables:

For example, six (6) dummy variables will be used when dealing with daily data.

Therefore, the number of dummy variables that will be required when a categorical variable has levels is: d. k - 1

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k - 1

Step-by-step explanation:

Dummy variables are used values belonging to a certain variable are independently used as column data taking up values of either 0 or 1.

To code categorical variables, the number of dummy variables created is represented by the formular : k - 1. Where k is the number of levels.

For instance, a variable with 7 levels will be represented as (7 - 1) = 6 different dummy variables. The last variable (which is supposed to be the 7th) is captured by the intercept (showcased when all variables have a value of 0).

the length of o'p' is .

step-by-step explanation:

it is given that the quadrilateral m'n'o'p' is the image of quadrilateral mnop after dilation.

the center of dilation is origin and the scale factor is 1.5.

in dilation the image and preimge are similar figures. it means the sides of image and preimage are proportional.

the scale factor is defined as

the scale factor is 1.5.

multiply both sides by op.

note: if the value of op is given, then multiply the value of op with 1.5 to get the length of side o'p'.

therefore length of o'p' is .

step-by-step explanation:

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