suppose that we have a qualitative variable month with categories January February etc how many dummy...
suppose that we have a qualitative variable month with categories January February etc how many dummy variables are needed to escribe month
Homework Answers
Answer
We know that there are 12 months in a year
Number of dummy variables is given as
dummy variables = k - 1
where k is the total number of variables
In this case, we have 12 variables for 12 months
so, number of dummy variables = k-1
= 12-1
= 11
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suppose that we have a qualitative variable month with
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Suppose X, is a numerical variable and X, is a dummy variable with two categories and...
Suppose X, is a numerical variable and X, is a dummy variable with two categories and the regression equation for a sample of n 27 is Y-4-6X..3 a. Interpret the regression coefficient associated with variable b. Interpret the regression coefficient associated with variable c. Suppose that the ISTAT test statistic for testing the contribution of vanable Xis 249. At the 0.01 level of significance, is there evidence that vanable makes a significant contribution to the model?
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HELP ASAP
Suppose you are wishing to fit a multiple linear regression model using one categorical variable that can take on 17 different values. For example, if you wished to use the months of the year in your model, the categorical variable "month" would have 12 different values: January, February, March, etc. In general, how many dummy variables would you need to incorporate into your model to completely capture the effect of all 17 conditions of a categorical variable on...
can I have question 8 answered with shown work. 8. Construct dummy variable codes for favorite type of music, as measured by these categories: country, rock, rap, jazz, classical, none. Show your...
can
I have question 8 answered with shown work.
8. Construct dummy variable codes for favorite type of music, as measured by these categories: country, rock, rap, jazz, classical, none. Show your results in a matrix (row-and-column) format.
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The coefficients for the month of observation, _Imonth_2, _Imonth3, etc. are mean effects (dummy variables) that...
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Suppose X, is a numerical variable and X, is a dummy variable with two categories and the regression equation for a sample of n 27 is Y-4-6X..3 a. Interpret the regression coefficient associated with variable b. Interpret the regression coefficient associated with variable c. Suppose that the ISTAT test statistic for testing the contribution of vanable Xis 249. At the 0.01 level of significance, is there evidence that vanable makes a significant contribution to the model?
HELP ASAP
Suppose you are wishing to fit a multiple linear regression model using one categorical variable that can take on 17 different values. For example, if you wished to use the months of the year in your model, the categorical variable "month" would have 12 different values: January, February, March, etc. In general, how many dummy variables would you need to incorporate into your model to completely capture the effect of all 17 conditions of a categorical variable on...
can
I have question 8 answered with shown work.
8. Construct dummy variable codes for favorite type of music, as measured by these categories: country, rock, rap, jazz, classical, none. Show your results in a matrix (row-and-column) format.
8. Construct dummy variable codes for favorite type of music, as measured by these categories: country, rock, rap, jazz, classical, none. Show your results in a matrix (row-and-column) format.
3. (20 pts) Suppose that we have 4 observations for 3 variables y , x\, X2 and consider a problem of regressing y on two (qualitative) variables x\, xz. Data y (Income) x (Gender) X2 (Management Status) obs no. Female None 2 Male None 3 Female Yes 4 Male Yes Y4 To handle the qualitative variables x\, x2, we define dummy variables z1, 22 as Male for for 1, 1, T2= Yes Z1= Z2= -1 for for 1 1 =...
6. In applying the high-low method, what is the unit variable cost? Month January February Miles 76,000 60,000 68,000 90,000 Total Cost $182,000 140,000 168,000 200,000 March April
The coefficients for the month of observation,
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shift the intercept of our demand equation for each month of the
sample. In terms of what we know about gasoline demand, why might
it be important to model different baseline gasoline consumption by
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