Question

What does “regular” linear regression assume about the distribution of the dependent variable? Give an example...

What does “regular” linear regression assume about the distribution of the dependent variable? Give an example of a variable that would likely violate that assumption. Explain how it would violate the assumption.

(Understanding & Using Statistics for Criminology and Criminal Justice)

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
8. When do we use a correlation? Give an original example that is relevant to criminology...
8. When do we use a correlation? Give an original example that is relevant to criminology or criminal justice. 9. What two things does the correlation value tell us about the relationship between two variables? 10. I want to run a correlation on the variables age at first arrest and number of delinquent friends. Which is my independent variable and which is my dependent variable?
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable....
Regression ____ (b values) indicate how much influence each independent variable has on the dependent variable. Regression analysis serves two main purposes: to define the relationship between variables and to ____ values of the dependent variable using what we know about the existing correlation between the variables. The coefficient of multiple determination, R^2, is interpreted as the percentage of ____ in the dependent variable that is explained by the independent variable.
Multiple linear regression results: Dependent Variable: Cost Independent Variable(s): Summated Rating Cost = -43.111788 + 1.468875...
Multiple linear regression results: Dependent Variable: Cost Independent Variable(s): Summated Rating Cost = -43.111788 + 1.468875 Summated Rating Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept -43.111788 10.56402 ≠ 0 98 -4.0810021 <0.0001 Summated Rating 1.468875 0.17012937 ≠ 0 98 8.633871 <0.0001 Analysis of variance table for multiple regression model: Source DF SS MS F-stat P-value Model 1 8126.7714 8126.7714 74.543729 <0.0001 Error 98 10683.979 109.02019 Total 99 18810.75 Summary of fit: Root MSE: 10.441273 R-squared: 0.432...
Please hurry: What is the dependent variable? It is commonly assumed that “faster” computers cost more....
Please hurry: What is the dependent variable? It is commonly assumed that “faster” computers cost more. To test this assumption, twelve computers were randomly selected and their processor speed (gigahertz) and price were recorded. Then a regression analysis was performed to test the linear relationship between processor speed and price. The data and the results follow. Speed price 2.0 $2,689 1.6 $1,229 1.6 $1,419 1.8 $2,589 2.0 $2,849 1.2 $1,349 2.0 $2,929 1.6 $1,849 2.0 $2,819 1.6 $2,669 1.0 $1,249...
Select two variables, one independent variable and the other the dependent variable. Explain the cause and effect the relation between the two.
Select two variables, one independent variable and the other the dependent variable. Explain the cause and effect the relation between the two. How would you construct the Simple Linear Regression (quantity of data and how you will measure the results), and what would you use to validate the equation forecasting an x value. What will be your expectation of the results of this investigation?
What is a NON-NEGATIVEversus UNRESTRICTED DISTRIBUTION, give an example? What does the COMMAND RAND()provide in Excel?...
What is a NON-NEGATIVEversus UNRESTRICTED DISTRIBUTION, give an example? What does the COMMAND RAND()provide in Excel? What does the COMMAND RANDBETWEEN()provide in Excel? What kind of distribution dose min+(rand()*(max-min)) provide in Excel? What does norminv(rand(),100,5) provide in Excel? What is the FLAWof averages and how would you avoid the issues of making decisions based on averages, or point estimates.       
You want to construct a multiple linear regression model. The dependent variable is Y and independent...
You want to construct a multiple linear regression model. The dependent variable is Y and independent variables are x1 and x2. The samples and STATA outputs are provided: How would you make an ANOVA from the following information? Y X1 X2 3 2 1 4 1 2 6 3 3 6 3 4 7 4 5 STATA Y Coef. Std. Err. t P> abs. value (t) 95% confidence interval X1 0.25 0.4677072 0.53 0.646 -1.762382 , 2.262382 X2 0.85 0.3372684...
Simple linear regression (SLR) is often used in Data Science. Describe and explain what are the...
Simple linear regression (SLR) is often used in Data Science. Describe and explain what are the roles of simple linear regression in Data Science. Illustrate with a real-world application for each of the role described. Briefly explain how they perform the roles. Tips  Guideline: about 1000 words  First, give a brief description of Simple Linear Regression (SLR)  Then explain the roles of SLR in Data Science  Find real-world examples illustrating the roles of SLR that you...
1. T/F and explain: In simple linear regression there can be only one independent and one...
1. T/F and explain: In simple linear regression there can be only one independent and one dependent variable, but in multiple regression there can be more than one independent variable and more than one dependent variable. .2. From regression, using you own words, define the Error Term. 3. Why is it important to check for correlation between independent variables in multiple regression? 4. Assume two of your right hand side variables are correlated. What techniques are available to you to...
Give an example of a problem dealing with two possibly related variables (Y and X) for...
Give an example of a problem dealing with two possibly related variables (Y and X) for which a linear regression model would not be appropriate. For example, the relationship could be curved instead of linear, or there may be no significant correlation at all. What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data. For your response to a classmate...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT