Why is the discriminant useful?

Q: Which of these two research objectives may be addressed using Chi-Square test of independence?

A: Chi square test of independence is used to determine whether two variables are dependent or not.

Q: Above, a table was created to calculate the coefficients of the linear regression y=ax+b model for a…

A:

Q: expected when we apply a quadratic polynomial regression model? Which kind of relationship between…

A: When we take a linear regression it relates the two variables that is X and Y. This is connected…

Q: Explain the Parameter reduction by using the ADL model?

A: Autoregressive Distributed Model Lag (ADL) -The regressors of one or more explanatory variables may…

Q: Why Bayesian modelling and  analysis over others?

A: Bayesian modelling finds the best out of the uncertainty. Every state in the models is assigned a…

Q: Explain the Two Stage Least Squares Estimator?

A: Regression analysis of twostage minus squares (2SLS) is a statistical technique used in the analysis…

Q: What is the critical point?

A: The objective of the question is defination of critical point.

Q: The residuals from a linear regression model can be used to check the underlying assumptions and to…

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Q: How to compute for the 1.  ∑x2   2.  ∑ y2 3. ∑xy of this data set for linear regression?

A: Solution-: Let, X=decile rank and Y=Grade point average We want to find, (1) ∑X2=? (2) ∑Y2=? (3)…

Q: What are the restrictions of use for a Chi-Square analisys?

A: The chi-square is very sensitive to sample size. As the sample size increases, absolute differences…

Q: How can we explain sentiment analysis applications with Bayes Theorem?

A:

Q: Identify and explain the significance of the three basic principles of experimental design.

A: The three basic principles of experimental design and their significance are explained as…

Q: Because the data in this chart are displayed as a line with no data point markers, this indicates…

A: Introduction: The given graph shows power (W) plotted against voltage (V).

Q: What is biostatistical  application and their objective?

A: Biostatistics is also known as Biometry. Biostatistics is the development and application of…

Q: Because the data in this chart are displayed as a line with no data point markers, this indicates…

A: Give Graph plotted power vs voltage   the given graph is a line diagram with no markers indicating…

Q: How can spurious regression be prevented?

A: Spurious regression arises the dependent and independent variable seems to be related but in real…

Q: Define concept of Regression with a Binary Dependent Variable?

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Q: What is the deterministic component of the regression expression?

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Q: How can we make predictions using a fitted model in R?

A: Note: Hey there! Thank you for the question. As this is a generalized question, we have explained…

Q: 18. Explain the general principle used to train linear regression models.

A: The linear regression model has a set of values in a variable x. For each corresponding value of x…

Q: Explain the least squares regression line?

A: Least square regression line is the line of best fit that makes the vertical distance from the data…

Q: Explain why Gauss- mark theorem is used to form a linear regression model?

A: Introduction: The ordinary least squares (OLS) method is usually used to construct a linear…

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

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

Q: Explain the IV Regression Assumptions?

A: Introduction: A multiple regression analysis is often found to contain endogenous predictor…

Q: How can I explain this for a presentation? Please help me My study was about The effect of…

A: Explanation for Presentation: 1. Start with explaining what is a pie chart and what kind of data can…

Q: What is a dependent variable?

A: To explain what is a dependent variable

Q: Why is it difficult to describe how model validation is done?

A: Let MV denote model validation.

Q: The dorivative of

A: To find: The derivative of the function fx=sin1+cosx. Formula used: Chain rule of derivative:…

Q: It is particularly important not to use input data in model formulas, but to reference the…

A: True

Q: The results of Principal Component Analysis are less reliable if the scale of measurement of the…

A: Introduction: Principal Component Analysis is a dimensionality reduction procedure, which attempts…

Q: we can make a causal claim from the results of the chi-square test

A:

Q: The line of best fit through a set of data is y = – 23.469 2.121x According to this equation, what…

A: y =-23.469-2.121x the predicted value of the dependent variable when the independent variable has…

Q: I want to explain these results

A: There are five treatments that determine the shoot length. Th treatments are- control, 3dS, 6dS,…

Q: Write down the different Multiple Regression Equations?

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Q: Explain the Extended Least Squares Assumptions?

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Q: what are the attributes of a good econometric model?

A: The attributes of a good econometric model are, Parsimony Identifiability Goodness of fit…

Q: Why won't the whiteboard image show up?

A: Hey there! Thank you for posting the question. Since there are multiple questions posted, we will…

Q: What are two variables that will be can be used in a  chi-square analysis based in social work? What…

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Q: What is meant by the Regression equation?

A: A regression equation is a statistical model that show the relationship between the predictor…

Q: What is the independent variable?

A: What is the independent variable?

Q: What is Linearization?

A: Linearization  Linearization is finding the linear approximation to a function at a given point.…

Q: How to know if obtaining a regression equation for the data appear reasonable?

A: Linear regression: It is a method for predicting the value of a dependent variable Y , based on the…

Q: Explain Conducting Qualitative Field Research?

A: Field research is a qualitative method of data collection.

Q: Define linearization?

A: it is a method of finding the linear approximation of a function at a given point.  If f is…

Q: Is Assumption MLR1. Linear in Parameters satisfied for the following model? Explain.

A: A model is said to be linear in parameters if partial derivatives of y with respect to each of…

Q: What is the variable requirement for a chi-square analysis?

A: The Chi-Square Test specifies whether categorical variables are correlated (i.e., whether the…

Q: What is the linear regression?

A: 5. The regression analysis is used for determining whether there is relationship between independent…

Q: How does the general classification problem discussed in Section 17-3 differ from the general…

A: How does a generalized classification problem differ from a generalized problem analyzed with…

Polynomials

Try substituting 1. You will get 6 and not 0. Try other real values also. What About -2? Let us check.