What is the logistic regression equation?   How would you interpret an odds ratio for a continuous explanatory variable in logistic regression?

Q: When trying to decide whether to use the Linear Regression or the Exponential Regression of a set of…

A: The general guideline is to use linear regression first to determine whether it can fit the…

Q: How do you determine whether a regression model is showing a case of redundancy?

A: Multicollinearity is simply redundancy in the information contained in predictor variables. If the…

Q: What problems might we encounter when using regression to measure causal effects?

A: Given: Regression is the Statistical method of detecting  exact relationship between dependent…

Q: When would a survival analysis model be used instead of a logistic regression model?

A: We always use a  logistic regression model when we have a dependent variable which is Dichotomous…

Q: Illustrate Probit and Logit Regression?

A: Probit and Logit models are used when we need to predict or analyze the binary dependent variable.…

Q: What is the regression equation

A: The regression analysis is conducted here by using EXCEL. The software procedure is given below:…

Q: In logistic regression, the residuals (or error terms) are normally distributed. True or False? O…

A:

Q: In regression analysis, the error term is very important. By stating the assumptions about the error…

A: The assumptions of the error term: 1. Zero mean: The expected value of the error terms is equal to…

Q: The logistic regression can predict/describe

A: Given: logistics regression model  Log(p/1-p)=b0+b1*x  What does logistics regression model predicts…

Q: What does the exponent of the regression coefficient represent in a logistic regression model?

A: what does the exponent of the regression coefficients represent in a logistic regression model?

Q: What is the connection between cointegration and spurious regression?

A: In general, regression models for non- stationary variables give spurious results .only  exception…

Q: What is the justification for using bayesian binary logistic regression model in a research?

A: Solution: Generally linear regression is used when the dependent variable is quantitative which is…

Q: Define a general formula used for a nonlinear population regression function? Explain with example?

A:

Q: Explain the Logistic Modeling of Population Data?

A: Concept: A graph is a picture which is designed to express words.

Q: Compare the three-week moving average forecast with the exponential smoothing forecast using α =…

A: Let's consider the below weekly data for calculating three-week moving average forecast and…

Q: What proportion of the variability in the Salaries is explained by the multiple regression model…

A: The regression analysis is conducted using EXCEL. The software procedure is given below: Enter the…

Q: In a regression context, under what situation is the predicted value for Y equal to the mean of Y?

A: To find: under what situation is the predicted value for Y equal to the mean of Y   Let us assume…

Q: Define familiar multiple regression model with a population regression function?

A: A multiple regression model is a statistical technique that uses several independent variables to…

Q: Explain Multivariate regression coefficients?

A: Independent and dependent variables in regression: In a simple regression, the variable of interest,…

Q: Suppose we fit a regression line to predict the number of incidents of skin cancer per 1,000 people…

A: Given that predicted value = 1.5 Residual = 0.5

Q: Why Stochastic error term must be present in a regression equation?

A: Regression analysis: Regression analysis estimates the relationship among variables. That is, it…

Q: Find the regression equation? What is the predicted blood pressure for a man aging 25 yea

A: Regression equation: Excel Procedure: Enter X and Y in Excel>Data>Data Analysis>…

Q: Why is regression analysis the 'magic elixir'?

A: Regression analysics is a set of statistical methods used for the estimation of relationships…

Q: 4- Explain when and how logistic regression model should be fitted to data instead of simple linear…

A: Here need to explain when and how logistic regression should fit to data instead of simple linear…

Q: The use of multiple logistic regression is warranted when there are two or more independent…

A: The use of multiple logistic regression is warranted when there  are two or more independent…

Q: What are some examples of ways in which  linear regression to create a beneficial statistical…

A: Linear Regression:Linear regression is a method used to establish a relationship between the…

Q: The more concave down the cumulative lift measure over customer buckets, the better the predictive…

A:

Q: What is the interpretation of the slope beta1=-0.5 for the simple logistic regression with a…

A: The simple logistic regression model is a predictive algorithm using independent variables…

Q: Explain the Theory of Linear Regression with One Regressor?

A:

Q: determine the equation of the logarithmic regression function for the data. x, 1,2,3,4,5,6 y, 0.0,…

A: Given information: The data represents the values of the independent variable x and dependent…

Q: Define "regression coefficient"?

A:

Q: What is measured by the standard error of estimaate for a regression equation?

A: Standard Error of estimate(SEE) is given by, SEE=(Y-Y^)2NY: Actual ValueY^: predicted valuesN:…

Q: What is the difference between a Multiple Regression model and a Multivariate Regression model?…

A: Regression

Q: What is the independent variable using the table below showing the regression of assets and revenue?

A: Independent variable: The variable which does not influenced by other variables then it is called as…

Q: What does this data mean if the values are logistic regression analysis of presence of sarcopenia as…

A: From the given information we find the correct conclusion.

Q: In logistic regression, the predictors are dichotomous, and the outcome is a continuous variable.…

A: In this case, we need to identify the given statement is true or false.

Q: Why is it that the exponential smoothing method offers a better forecast accuracy?

A: Exponential Smoothing: This is a very popular scheme to produce a smoothed Time Series. Whereas in…

Q: If we are interested in the normality assumption in the context of regression, should we be…

A: Regression analysis

Q: We want to predict the probability of car accidents based on three risk factors: (i) average driving…

A: Here we have been provided with three risk factors : i) Average driving speed ii) Weather iii) User…

Q: A logistic regression was used to investigate obesity and poor physical health while controlling for…

A: Logistic regression is used when the dependent variable is categorical and the independent variables…

Q: Illustrate the Regression Discontinuity Estimators?

A: In the context of an evaluation study, the Regression discontinuity design is characterized by a…

Q: Explain the concept of Endogeneity and exogeneity in relation to the Instrumental variables…

A: Endogeneity occurs when an Independent Variable X in a regression model is correlated with the error…

Q: Define Regression Methods?

A: Introduction The regression equation is used for the prediction of y values which depends upon the…

Q: Explain Instrumental variables regression?

A: An instrumental variable (sometimes referred to as a "instrument" variable) is a third variable, Z,…

Q: Define Residuals or errors in Alternative Regression Models?

A: The residual or errors is defined as the difference between the observed value of the dependent…

Q: Explain the various concepts & tools of regression with time series data?

A: A time series can be decomposed into three components: the trend (long term direction), the seasonal…

Q: A regression equation is obtained for a set of data. After examining a scatter diagram, the…

A: A regression equation is obtained for a set of data . A data point that is potentially an…

Q: In logistic regression, the predictors are dichotomous, and the outcome is a continuous variable.

A: Logistic regression is method for analyzing a data in which there are one or more independent…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.