- What is the point of intersection of two regression lines?
- What do you mean by regression line?
- How do you find the correlation coefficient when given two regression lines?
- What is a regression line in statistics?
- What are the limits of two regression coefficients?
- How do you solve regression analysis?
- When two regression lines coincide then the value of R is?
- What are the two lines of regression?
- Under what condition will the angle between two regression lines become zero?
- What does R 2 tell you?
- How many types of regression lines are there?
- Which of the following is a regression line?
- How do you find the angle between two regression lines?
- How do you calculate a regression line?
- Why do we use two regression equations?
- How do you write a regression equation?
- What is the regression line also called?

## What is the point of intersection of two regression lines?

There are two lines of regression.

Both these lines are known to intersect at a specific point [ \bar{x} , \bar{y} ].

Here the variables under consideration are x and y.

As per this property, the intersection of both the lines of regression i.e.

of y on x and x on y is [ \bar{x} , \bar{y} ]..

## What do you mean by regression line?

A regression line is a straight line that de- scribes how a response variable y changes as an explanatory variable x changes. We often use a regression line to predict the value of y for a given value of x. … The text gives a review of the algebra and geometry of lines on pages 117 and 118.

## How do you find the correlation coefficient when given two regression lines?

r=√byx⋅bxy.=√-0.5⋅-1.5.=√0.75.

## What is a regression line in statistics?

A regression line is the “best fit” line for your data. You basically draw a line that best represents the data points. It’s like an average of where all the points line up. In linear regression, the regression line is a perfectly straight line: A linear regression line.

## What are the limits of two regression coefficients?

No limit. Must be positive. One positive and the other negative. Product of the regression coefficient must be numerically less than unity.

## How do you solve regression analysis?

Regression analysis is the analysis of relationship between dependent and independent variable as it depicts how dependent variable will change when one or more independent variable changes due to factors, formula for calculating it is Y = a + bX + E, where Y is dependent variable, X is independent variable, a is …

## When two regression lines coincide then the value of R is?

Answer: The two lines of regression coincide i.e. become identical when r = –1 or 1 or in other words, there is a perfect negative or positive correlation between the two variables under discussion. (v) The two lines of regression are perpendicular to each other when r = 0.

## What are the two lines of regression?

In regression analysis, there are usually two regression lines to show the average relationship between X and Y variables. It means that if there are two variables X and Y, then one line represents regression of Y upon x and the other shows the regression of x upon Y (Fig. 35.2).

## Under what condition will the angle between two regression lines become zero?

The angle between two regression lines becomes zero if r=±1.

## What does R 2 tell you?

R-squared (R2) is a statistical measure that represents the proportion of the variance for a dependent variable that’s explained by an independent variable or variables in a regression model.

## How many types of regression lines are there?

On average, analytics professionals know only 2-3 types of regression which are commonly used in real world. They are linear and logistic regression. But the fact is there are more than 10 types of regression algorithms designed for various types of analysis. Each type has its own significance.

## Which of the following is a regression line?

When the regression line is linear (y=ax+b) the regression coefficient is the constant (a) that represents the rate of change of one variable (y) as a function of changes in the other (x) i.e. it is the slope of the regression line.

## How do you find the angle between two regression lines?

The angle between the regression line is given by tanθ=r1−r2(σx)2+(σy)2σxσy.

## How do you calculate a regression line?

The formula for the best-fitting line (or regression line) is y = mx + b, where m is the slope of the line and b is the y-intercept.

## Why do we use two regression equations?

There may exist two regression lines in certain circumstances. When the variables X and Y are interchangeable with related to causal effects, one can consider X as independent variable and Y as dependent variable (or) Y as independent variable and X as dependent variable.

## How do you write a regression equation?

A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).

## What is the regression line also called?

The regression line is sometimes called the “line of best fit” because it is the line that fits best when drawn through the points. It is a line that minimizes the distance of the actual scores from the predicted scores.