Question

In: Statistics and Probability

Using a scholarly citation, discuss a study that extends the regression analysis where either dependent, independent,...

Using a scholarly citation, discuss a study that extends the regression analysis where either dependent, independent, or both are qualitative. Explain

  1. A description of the study
  2. the conclusion.

Thanks.

Solutions

Expert Solution

SOLUTION:-

There are different sorts of relapse models that are commonly used to study and outline any models to locate the ideal outputs.

some are essential algorithmic models others are mind boggling.

Straight and strategic relapses are normally the principal calculation we learn in information science.Due to their popularity,a part of information examination even end up believing that they are the main type of regressions.the ones who are somewhat increasingly included feel that they are the most significant among are type of relapse investigation.

Relapse examination is a type of prescient mode utilizing procedure which researches the connection between a dependent(target) and autonomous variables(s)(predictor).

The method is utilized for guaging, time arrangement displaying and finding the easygoing impact connection between the factors.

For instance - connection between rash driving and number of street mishaps by a driver is best concentrated through relapse.

Relapse investigation is a significant apparatus for displaying and dissecting information. Here we fit a bend/line to the information points,in such a way, that the contrasts between the separation.


Related Solutions

Regression analysis is usually performed using quantitative data of both dependent and independent variables. It can...
Regression analysis is usually performed using quantitative data of both dependent and independent variables. It can extend to cases where one of the variables (or both) is quantitative. Using scholarly citations, find a study that extends the regression where either dependent, independent, or both are qualitative. Give: a brief description of the study a description of the dependent and independent variables the conclusion.
In a multi linear regression case study, the dependent variable is house_value, the independent variables are...
In a multi linear regression case study, the dependent variable is house_value, the independent variables are house_age, crime_rate, tax_rate, trying to build a model to predict the house value, how to state model assumptions? What's the assumption in this case? Thanks!
Regression and Correlation Analysis Use the dependent variable (labeled Y) and one of the independent variables...
Regression and Correlation Analysis Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent variable throughout this analysis. Use Excel to perform the regression and correlation analysis to answer the following. Generate a scatterplot for the specified dependent variable (Y) and the selected independent variable (X), including the graph of the "best fit" line. Interpret. Determine the equation of the "best fit" line, which...
Multiple regression analysis was used to study the relationship between a dependent variable, y, and four...
Multiple regression analysis was used to study the relationship between a dependent variable, y, and four independent variables; x1, x2, x3, and x4. The following is a partial result of the regression analysis involving 31 observations. Coefficients Standard Error Intercept 18.00 6.00 x1 12.00 8.00 x2 24.00 48.00 x3 -36.00 36.00 x4 16.00 2.00 ANOVA df SS MS F Regression 125 Error Total 760 a) Compute the multiple coefficient of determination. b) Perform a t test and determine whether or...
Once the independent and dependent variables are identified correctly, regression analysis is often thought of as a Three Step Process:
Once the independent and dependent variables are identified correctly, regression analysis is often thought of as a Three Step Process: What is the conclusion of the null hypothesis, Ho: B1=0; If there is an association between X and Y, how strong is this association? What are the values of the regression coefficients? How would you explain this three step process to someone who has no knowledge of regression analysis?
REGRESSION - USING CALCULATOR 1- You are given data for Xi (independent variable) and Yi (dependent...
REGRESSION - USING CALCULATOR 1- You are given data for Xi (independent variable) and Yi (dependent variable). 2- Calculate the correlation coefficient, r: 3- Calculate the coefficient of determination: 4- Calculate the regression coefficient b1 (the slope): 5- Calculate the regression coefficient b0 (the Y-intercept, or constant): 6- The regression equation (a straight line) is: Problem 2: A researcher is interested in determining whether there is a relationship between shelf space and number of books sold for her bookstore. Shelf...
create a multiple regression using your dependent variable and as many independent variables you can think...
create a multiple regression using your dependent variable and as many independent variables you can think of. discuss the statistical significance of each of your independent variables
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in nature. a interval; categorical b ordinal; interval c categorical; interval d ordinal; categorica 2- s one of the statistics associated with discriminant analysis, ________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term. a Wilks' λ b discriminant scores c discriminant function coefficients d eigenvalue
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in...
1- In discriminant analysis, the dependent variable is ________ and the independent variables are ________ in nature. a interval; categorical b ordinal; interval c categorical; interval d ordinal; categorica 2- s one of the statistics associated with discriminant analysis, ________ are obtained when the unstandardized coefficients are multiplied by the values of the variables and the products are summed and added to the constant term. a Wilks' λ b discriminant scores c discriminant function coefficients d eigenvalue
1. Using any data sets, run two multiple regression equations. state the dependent and independent variable...
1. Using any data sets, run two multiple regression equations. state the dependent and independent variable ( you need to start with at least three and end with at least two) and how you believe they will be related. Run the regression equation until you get to the final model. Then test for the assumptions and interpret the necessary statistics. (use excel Megastat). Please select from any of the data sets. Real Estate Data Price Bedrooms Size Pool Distance Twnship...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT