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Q: assumptions are required to perform an analysis of variance.

A: What is Analysis of Variance (ANOVA)? Analysis of variance (ANOVA) is an analysis tool used in…

Q: Regarding the test of significance for the usefulness of the predictor variables  x1, x2, and x3 in…

A:

Q: Q#3. How can we detect Multicolinearity?. Write down the criterion of VIF, TOL and correlation…

A: given  how can we detect multicolinearity?

Q: Write a note on Interaction emerges as the most striking feature of a two-factor ANOVA.

A: ANOVA : In the design of experiment ANOVA  ( Analysis of variance ) plays very important role . It…

Q: onths up to October 2020. The Actual sales renect a 5 % lower number than the forecasted demand for…

A: A company forecasted demand of one of the product was 200 units in January 2020 with an increase of…

Q: e added to reduce the error variance

A: Dependent Variable Independent variable wage experience The parabolic regression model will be…

Q: Find the least squares approximating line for the given points and compute the corresponding least…

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Q: Suppose 5 out of 25 data points in a weighted least-squares problem have a y-measurement that is…

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Q: how do you find the variance

A: Variance:Variance indicates by how much each observation differs from a central point represented by…

Q: Find the variance

A:

Q: If an item is administered to 100 individuals has a difficulty index of 0.20, this item has a…

A: The number of people to whom the item is administered = 100 that is n = 100 The difficulty index is…

Q: In Austria ,The amount of money spent on the restoration of a  sanctuary and the  distinct  kangaroo…

A: Negative correlation between amount of money spent and kangaroo population means if amount of money…

Q: What is meant by least squares?

A: The method of least squares  is a standard approach in regression analysis to approximate the…

Q: Describe Decomposition of the variance in Y?

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Q: Define Efficiency of GLS (generalized least squares) estimator?

A: Efficiency of GLS (generalized least squares) estimator:

Q: What is the correlation coefficient and what is its significance? Explain why correlation…

A: Correlation: Correlation a measure which indicates the “go-togetherness” of two data sets. It can be…

Q: Suppose that a study is conducted to determine if environmental aspects and feed type impact the…

A: Solution

Q: The datafile Gestation06 lists the average gestation period (in days) and longevity (in years) for a…

A: Introduction: The response variable is Gestation, and the predictor variable is Longevity.

Q: What is the purpose of Least Squared Criterion?

A: Least Square method is used to obtain the line that best fits the given data points by minimizing…

Q: Give an example of a. univariate data. b. bivariate data.

A: There are two types of data: Univariate data Bivariate data

Q: Use the method of least squares to fit a straight line trend and estimate the number of salesmen in…

A: Here Given  Data for number of salesman in different years Now here x=Year s= Number of Salesman…

Q: The University has provided you with a dataset relating to 1,000 former students. Of a long list of…

A: In this case, the researcher is interested to include the probability or likelihood of the students…

Q: How are power, alpha, and type 1 and type 2 error all related?

A: Type 1 error is the error of rejecting a true null hypothesis. This happens when the value of the…

Q: The time it takes to bake a Blueberry Muffin is normally distributed with a mean of 45 minutes and a…

A: Given that , The time it takes to bake a Blueberry Muffin is normally distributed with a mean of 45…

Q: 14. Suppose you build a Partial Least Squares model where you prepared the data by centering and…

A: No, we cannot proceed to perform a 5-fold Cross Validation without performing additional data…

Q: Find the least squares approximating line for the given points and compute the corresponding least…

A: We are given the following points: (-5, -1), (0,1), (5,2), (10,4) Let the equation of the line be…

Q: A large oil company is studying the number of gallons of gasoline purchased per customer at…

A:

Q: Describe Multivariate Gaussian and Weighted Least Squares.

A: In probability theory of statistics , Multivariate Gaussian distribution is generalization of…

Q: Why it is suggested GLS (Generalized Least Squares ) method as most appropriate in panel data…

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Q: How to find nullityA

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Q: Suppose a special type of small data processing firm is so specialized that some have difficulty…

A: Property of probability distribution function (pdf) :  ∫yf(y) dy =  1

Q: Hypothesis is a claim about the population parameter.

A: Answer: A parameter that describes the population.  It is a fixed Number, but in practice we do not…

Q: Find the least squares approximating line for the given points and compute the corresponding least…

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Q: 4. In 1983, the Department of Dairy Science at the Virginia Polytechnic Institute and State…

A: Latin square is used in the situation where the row and column with different levels. In which each…

Q: A manufacturer of sunflower oil uses machines to distribute liquid ingredients into bottles that…

A: Given that,population mean(u)=8standard deviation, σ =0.1732sample mean, x =7.91number (n)=35null,…

Q: Regarding the test of significance for the usefulness of the predictor variables x1, x2, and x3 in…

A: The value of test statistic can be obtained by the formula given below:

Q: A market researcher for an automobile company suspects differences in preferred color between male…

A:

Q: What is the least squares regression line . and what are the least squares point estimates ?Why is…

A: A least squares regression line is a straight line that describes how a response variable y changes…

Q: WHAT IS VARIANCE

A: Solution Data given as 83, 85, 85, 85, 85, 85, 85, 85, 85, 85, 86, 86, 86, 86, 86, 86, 86, 87, 87,…

Q: Assume that the population consists of only these eleven data points for y and z. Construct one…

A: It was stated to assume that the population consists of only these eleven data points for y and z.…

Q: Explain the Zero Conditional Mean Assumption and Generalized Least Squares?

A: Zero Conditional Mean Assumption and Generalized Least Square (GLS) are two important statistical…

Q: What do all three types of t-test have in common

A: What do all three types of t-test have in common

Q: A cat-lover claims that cats are just as smart as dogs. In order to back this claim up with some…

A: It is given that, the 90% confident that the true difference in the proportion of all dogs and all…

Q: normally distributed data set has

A: Given that a normally distributed data set has a mean of 0 and a standard deviation of 2.

Q: This is a function that assigns a real number to each outcome in the sample space of a random…

A: We know that  Event : A set of outcomes of an experiment is called Event. Random variable : A random…

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.