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vladimir2022 [97]
3 years ago
8

When a dummy variable is included in a regression model that has one numerical independent variable, what assumption do you need

to make concerning the slope between the dependent variable, Y, and the numerical independent variable, X?
Mathematics
1 answer:
sukhopar [10]3 years ago
3 0

Answer:

Step-by-step explanation:

You need to assume that the slope between the dependent Varian and the numerical independent variable is zero.

In regression analysis, to find the effect of one independent variable on the dependent variable, there has to be no interference from the other independent variables whether they be categorical (dummy) or numerical independent variables.

A dummy variable is one which takes on the value of 0 or 1, to represent the absence or presence (respectively) of a given category which is expected to influence the dependent variable.

When a dummy independent variable is included in a regression model, to know the effect of that dummy or category (e.g. day =1, night =0) on the dependent variable, the influence of the numerical independent variable has to be removed temporarily.

In a regression equation,

Y=a+bX+cK

Y is the dependent variable

a is the intercept on the vertical axis on the graph

b is the slope between the dependent variable Y and the independent numerical variable X

c is the slope between the dependent variable Y and the dummy variable K

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Answer:

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Line PQS is 180 degrees. That being said, the addition of <PQR and <SQR equal 180 degrees.

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Do this every, single, time when you see these questions. Remember that line PQS is 180 degrees, and both of those angles are equal to 180 degrees.

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