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Fantom [35]
1 year ago
14

A variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression mod

el is called?
Mathematics
1 answer:
deff fn [24]1 year ago
6 0

A variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression model is called the dummy variable.

We know that,

A dummy variable is a binary variable that takes a value of 0 or 1.

In regression analysis, a dummy variable is one that takes only the value 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.

The number of dummy variables we must create is equal to k - 1, where k is the number of different values that the categorical variable can take on.

It is an artificial variable created to represent an attribute with two or more distinct categories/levels.

These are being used in order to sort out data into mutually exclusive groups.

It is used typically in time series analysis, response modelling, bio-medical studies, economic forecasting and credit scoring.

Therefore, a variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical variables in a regression model is called the dummy variable.

Learn more about the dummy variable here:

brainly.com/question/4528945

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k0ka [10]

Answer:

B: 280

Step-by-step explanation:

The regression line predicts that when x equals 5:

log_{10}(y) = 2.447

In order to find the value for y, one must simply apply the following logarithmic property:

if : log_{b}(a) = c

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Applying it to this particular problem:

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3 years ago
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Step-by-step explanation:

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3 years ago
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Diano4ka-milaya [45]

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Step-by-step explanation:

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strojnjashka [21]

Answer:

Option A) 4, 2

Step-by-step explanation:

We are given that quadrilateral ABCD is a  parallelogram with sides:

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Since the opposite sides of a parallelogram are equal, we can write:

AB = DC\\AD=BC

Equating the sides we get,

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Putting the values of x and y, we get:

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