Extra Credit Assignment: Regression With Dummy VariablesFor this assignment you will conduct a bivariate regression using two dichotomous independent variables.This assignment will use the following data set.The data set contains three variables: Drug use (the number of times an individual has used drugs in the last month excluding alcohol). Gender (coded as - 0 = male, 1=female) Employment Status (coded as - employed full time = 1, employed part time = 2 , unemployed =3)Data Set Research Subject Drug Use Gender Employment Status 1 1 1 1 2 1 1 2 3 2 0 3 4 4 0 1 5 2 1 2 6 9 0 3 7 7 1 2 8 5 1 3 9 0 0 1 10 3 0 1 11 5 0 2 12 2 1 3 13 3 1 3 14 4 1 2 15 5 0 1 16 8 1 2 17 1 1 3 18 5 0 1 19 3 0 2 20 5 0 3 Using this data please do the following: Imagine that you hypothesize that there is a relationship between gender and drug use. You decide to run a regression on the data. Please do the following. Run a bivariate regression on these two variables in SPSS (gender, drug use). Report the following: Assume that you met all of the assumptions to run a bivariate regression (even if you did not). Report the results for the bivariate regression you ran as you would report them in a journal article. Make sure you include all relevant information. You should report the results for the following: The F test R2 B (slope) with significance (Remember this part of the interpretation is different becuase it is a dummy variabe). Imagine that you hypothesize that there is a relationship between employment status and drug use. You decide to run a regression on the data. Please do the following. Assume you meet all required assumptions for the test. (Normally you would test them, but technically this will be a multiple regression so do not worry about the assumptions for now). Run a linear regression in SPSS with Drug Use as your outcome variable, and employment status as the predictor variable. (To do this you will need to recode employment status into multiple dummy variables). Review the video if you are confused. Report the B (slope) of your results. (Once again remember the interpretation is different). Note:If you produce any tables or graphs you should consider cutting and pasting them into your .rtf document.

Extra Credit Assignment: Regression With Dummy Variables For this assignment you will conduct a bivariate regression using two dichotomous independent variables.This assignment will use the following...

Extra Credit Assignment: Regression With Dummy Variables

For this assignment you will conduct a bivariate regression using two dichotomous independent variables.This assignment will use the following data set.The data set contains three variables:

Drug use (the number of times an individual has used drugs in the last month excluding alcohol).

Gender (coded as - 0 = male, 1=female)

Employment Status (coded as - employed full time = 1, employed part time = 2 , unemployed =3)

Data Set

Research Subject	Drug Use	Gender	Employment Status
1	1	1	1
2	1	1	2
3	2	0	3
4	4	0	1
5	2	1	2
6	9	0	3
7	7	1	2
8	5	1	3
9	0	0	1
10	3	0	1
11	5	0	2
12	2	1	3
13	3	1	3
14	4	1	2
15	5	0	1
16	8	1	2
17	1	1	3
18	5	0	1
19	3	0	2
20	5	0	3

Using this data please do the following:

Imagine that you hypothesize that there is a relationship between gender and drug use. You decide to run a regression on the data. Please do the following.
1. Run a bivariate regression on these two variables in SPSS (gender, drug use). Report the following:
  1. Assume that you met all of the assumptions to run a bivariate regression (even if you did not). Report the results for the bivariate regression you ran as you would report them in a journal article. Make sure you include all relevant information. You should report the results for the following:
    1. The F test
    2. R²
    3. B (slope) with significance (Remember this part of the interpretation is different becuase it is a dummy variabe).

Imagine that you hypothesize that there is a relationship between employment status and drug use. You decide to run a regression on the data. Please do the following.
1. Assume you meet all required assumptions for the test. (Normally you would test them, but technically this will be a multiple regression so do not worry about the assumptions for now).
2. Run a linear regression in SPSS with Drug Use as your outcome variable, and employment status as the predictor variable. (To do this you will need to recode employment status into multiple dummy variables). Review the video if you are confused.
  1. Report the B (slope) of your results. (Once again remember the interpretation is different).

Note:If you produce any tables or graphs you should consider cutting and pasting them into your .rtf document.

Answered 1 days AfterFeb 22, 2021

Answer To: Extra Credit Assignment: Regression With Dummy Variables For this assignment you will conduct a...

Suraj answered on Feb 23 2021

142 Votes

Consider the given data in the following table:
There are three variables in the data. The drug use is a dependent variable and gender and employment status are independent variables.
First, we will run the bivariate regression analysis for two variables drug use and gender. Assume that all the assumptions of the bivariate regression are met as it is mentioned in the question. The calculations are made using the SPSS and the output is given as follows:
F-test: The ANOVA test is conducted to check the significance of the model between two variables. Here, the F calculated value is 0.403 and also the p-value is 0.533. which is greater than the level of significance 0.05. Thus, the null hypothesis is not rejected and concluded that the model is...

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Extra Credit Assignment: Regression With Dummy Variables For this assignment you will conduct a bivariate regression using two dichotomous independent variables.This assignment will use the following...

Extra Credit Assignment: Regression With Dummy Variables

Answer To: Extra Credit Assignment: Regression With Dummy Variables For this assignment you will conduct a...

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