Recent questions in Inferential Statistics

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adwelitiovb 2023-02-20

Which of the following statements is not correct for the relation R defined by aRb, if and only if b lives within one kilometre from a?

A) R is reflexive

B) R is symmetric

C) R is not anti-symmetric

D) None of the above

A) R is reflexive

B) R is symmetric

C) R is not anti-symmetric

D) None of the above

Inferential StatisticsAnswered question

Duftgart3yb 2023-02-09

A line segment is a part of a line as well as a ray. True or False

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twaishi03m 2022-12-18

Which characteristic of a data set makes a linear regression model unreasonable?

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Bailee Richards 2022-11-26

Find the meaning of 'Sxx' and 'Sxy' in simple linear regression

Inferential StatisticsAnswered question

zweifelndcuv 2022-11-24

In the least-squares regression line, the desired sum of the errors (residuals) should be

a) zero

b) positive

c) 1

d) negative

e) maximized

a) zero

b) positive

c) 1

d) negative

e) maximized

Inferential StatisticsAnswered question

Brandon White 2022-11-24

Can the original function be derived from its ${k}^{th}$ order Taylor polynomial?

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ajakanvao 2022-11-23

Should the independent (or dependent) variables in a linear regression model be normal or just the residual?

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Kierra Griffith 2022-11-22

What is the relationship between the correlation of two variables and their covariance?

Inferential StatisticsAnswered question

Laila Murphy 2022-11-20

Correlation bound

Let x and y be two random variables such that:

Corr(x,y) = b, where Corr(x,y) represents correlation between x and y, b is a scalar number in range of [-1, 1]. Let y' be an estimation of y. An example could be y'=y+(rand(0,1)-0.5)*.1, rand(0,1) gives random number between 0, 1. I am adding some noise to the data.

My questions are:

Is there a way where I can bound the correlation between x, y' i.e. Corr(x,y')?I mentioned y' in light of random perturbation, I would like to know what if I don't have that information, where I only know that y' is a estimation of y. Are there any literature that cover it?

Let x and y be two random variables such that:

Corr(x,y) = b, where Corr(x,y) represents correlation between x and y, b is a scalar number in range of [-1, 1]. Let y' be an estimation of y. An example could be y'=y+(rand(0,1)-0.5)*.1, rand(0,1) gives random number between 0, 1. I am adding some noise to the data.

My questions are:

Is there a way where I can bound the correlation between x, y' i.e. Corr(x,y')?I mentioned y' in light of random perturbation, I would like to know what if I don't have that information, where I only know that y' is a estimation of y. Are there any literature that cover it?

Inferential StatisticsAnswered question

ajumbaretu 2022-11-20

What is the benefit of OU vs regression for modeling data, say data in the form of ($x,y$) pairs?

Inferential StatisticsAnswered question

apopiw83 2022-11-20

Can you determine the correlation coefficient from the coefficient of determination?

Inferential StatisticsAnswered question

Laila Murphy 2022-11-20

What kind of technique is to be adopted if I have to find an equation or model for say, $D$ depends on $C$, $C$ changes for a set of $B$, which changes for different $A$.

Inferential StatisticsAnswered question

Kale Sampson 2022-11-19

From numerical simulation and regression analysis I discovered that the root-mean-square amplitude of white noise with bandwidth $\mathrm{\Delta}\phantom{\rule{negativethinmathspace}{0ex}}f$ is proportional to $\sqrt{\phantom{\rule{negativethinmathspace}{0ex}}\mathrm{\Delta}\phantom{\rule{negativethinmathspace}{0ex}}f}$. How can this be derived mathematically ?

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Yaretzi Mcconnell 2022-11-19

How can one find the root of sesquilinear form with positive definite matrix?

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Kayley Dickson 2022-11-18

In a Simple Linear Regression analysis, independent variable is weekly income and dependent variable is weekly consumption expenditure. Here $95$% confidence interval of regression coefficient, ${\beta}_{1}$ is $(.4268,.5914)$.

Inferential StatisticsAnswered question

Adison Rogers 2022-11-17

How to find AIC values for both models using $R$ software?

Inferential StatisticsAnswered question

fabler107 2022-11-15

True or false?

The amount of hours you work babysitting and the amount of money you earn- has correlation, but no causation

The amount of hours you work babysitting and the amount of money you earn- has correlation, but no causation

Inferential StatisticsAnswered question

Bayobusalue 2022-11-12

Are the ordinary least squares regression coefficients uniformly integrable?

Inferential StatisticsAnswered question

Fahdvfm 2022-11-12

Find a regression to this : $a\equiv t\phantom{\rule{0.444em}{0ex}}(\mathrm{mod}\phantom{\rule{0.333em}{0ex}}\mathrm{\Delta})$, $a$ and $\mathrm{\Delta}$ are the unknowns constants.

Inferential StatisticsAnswered question

Aryanna Fisher 2022-11-12

Is it always true that

$det({A}^{T}A)=0$ , for $A=n\times m$ matrix with $n<m$?

$det({A}^{T}A)=0$ , for $A=n\times m$ matrix with $n<m$?

In simple terms, inferential statistics is an approach where you use measurements from the sample of specific subjects as you conduct an experiment. The purpose is to make an outcome based on generalization regarding the greater population of subjects. You may use equations if there are questions that are related to a particular approach. You can get inferential statistics help as we provide a list of answers with good samples to start with. There are related topics like correlation problems that will help you with financial statistics and the coordination of variables